Few Shot Segmentation
Table of Contents
IEEE Trans. Emerg. Top. Comput. Intell.
IEEE Trans. Intell. Transp. Syst.
Inf. Sci.
NeurIPS
Expand NeurIPS
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation. | NeurIPS | 2024 | Link |
| Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation. | NeurIPS | 2024 | Link |
| Hybrid Mamba for Few-Shot Segmentation. | NeurIPS | 2024 | Link |
| Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation. | NeurIPS | 2024 | Link |
| Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. | NeurIPS | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation. | NeurIPS | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. | NeurIPS | 2022 | Link |
| Feature-Proxy Transformer for Few-Shot Segmentation. | NeurIPS | 2022 | Link |
| Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation. | NeurIPS | 2022 | Link |
| Mask Matching Transformer for Few-Shot Segmentation. | NeurIPS | 2022 | Link |
| Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. | NeurIPS | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot Segmentation via Cycle-Consistent Transformer. | NeurIPS | 2021 | Link |
ICML
Expand ICML
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation. | ICML | 2025 | Link |
| DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation. | ICML | 2025 | Link |
| Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation. | ICML | 2025 | Link |
| Unlocking the Power of SAM 2 for Few-Shot Segmentation. | ICML | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation. | ICML | 2024 | Link |
ICLR
Expand ICLR
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. | ICLR | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation. | ICLR | 2023 | Link |
2018
| Title | Venue | Year | Link |
|---|---|---|---|
| Conditional Networks for Few-Shot Semantic Segmentation. | ICLR | 2018 | Link |
CVPR
Expand CVPR
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation. | CVPR | 2025 | Link |
| Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation. | CVPR | 2025 | Link |
| Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model. | CVPR | 2025 | Link |
| Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation. | CVPR | 2025 | Link |
| Text Augmented Correlation Transformer For Few-shot Classification & Segmentation. | CVPR | 2025 | Link |
| The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation. | CVPR | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. | CVPR | 2024 | Link |
| Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation. | CVPR | 2024 | Link |
| Addressing Background Context Bias in Few-Shot Segmentation Through Iterative Modulation. | CVPR | 2024 | Link |
| Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining. | CVPR | 2024 | Link |
| Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation. | CVPR | 2024 | Link |
| LLaFS: When Large Language Models Meet Few-Shot Segmentation. | CVPR | 2024 | Link |
| No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation. | CVPR | 2024 | Link |
| Rethinking Few-shot 3D Point Cloud Semantic Segmentation. | CVPR | 2024 | Link |
| Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. | CVPR | 2024 | Link |
| Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. | CVPR | 2024 | Link |
| Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. | CVPR | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Strong Baseline for Generalized Few-Shot Semantic Segmentation. | CVPR | 2023 | Link |
| Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. | CVPR | 2023 | Link |
| Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. | CVPR | 2023 | Link |
| Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation. | CVPR | 2023 | Link |
| MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation. | CVPR | 2023 | Link |
| Rethinking Few-Shot Medical Segmentation: A Vector Quantization View. | CVPR | 2023 | Link |
| Rethinking the Correlation in Few-Shot Segmentation: A Buoys View. | CVPR | 2023 | Link |
| WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. | CVPR | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. | CVPR | 2022 | Link |
| GANORCON: Are Generative Models Useful for Few-shot Segmentation? | CVPR | 2022 | Link |
| Generalized Few-shot Semantic Segmentation. | CVPR | 2022 | Link |
| Integrative Few-Shot Learning for Classification and Segmentation. | CVPR | 2022 | Link |
| Learning Non-target Knowledge for Few-shot Semantic Segmentation. | CVPR | 2022 | Link |
| Learning What Not to Segment: A New Perspective on Few-Shot Segmentation. | CVPR | 2022 | Link |
| Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer. | CVPR | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. | CVPR | 2021 | Link |
| Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. | CVPR | 2021 | Link |
| Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation. | CVPR | 2021 | Link |
| Few-Shot 3D Point Cloud Semantic Segmentation. | CVPR | 2021 | Link |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | CVPR | 2021 | Link |
| Incremental Few-Shot Instance Segmentation. | CVPR | 2021 | Link |
| Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation. | CVPR | 2021 | Link |
| Self-Guided and Cross-Guided Learning for Few-Shot Segmentation. | CVPR | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| CRNet: Cross-Reference Networks for Few-Shot Segmentation. | CVPR | 2020 | Link |
| FGN: Fully Guided Network for Few-Shot Instance Segmentation. | CVPR | 2020 | Link |
| FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. | CVPR | 2020 | Link |
| Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. | CVPR | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning. | CVPR | 2019 | Link |
ICCV
Expand ICCV
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation. | ICCV | 2023 | Link |
| Generalized Few-Shot Point Cloud Segmentation Via Geometric Words. | ICCV | 2023 | Link |
| MSI: Maximize Support-Set Information for Few-Shot Segmentation. | ICCV | 2023 | Link |
| Memory-augmented Variational Adaptation for Online Few-shot Segmentation. | ICCV | 2023 | Link |
| Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. | ICCV | 2023 | Link |
| Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation. | ICCV | 2023 | Link |
| Self-Calibrated Cross Attention Network for Few-Shot Segmentation. | ICCV | 2023 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot Semantic Segmentation with Cyclic Memory Network. | ICCV | 2021 | Link |
| Learning Meta-class Memory for Few-Shot Semantic Segmentation. | ICCV | 2021 | Link |
| Mining Latent Classes for Few-shot Segmentation. | ICCV | 2021 | Link |
| Recurrent Mask Refinement for Few-Shot Medical Image Segmentation. | ICCV | 2021 | Link |
| Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. | ICCV | 2021 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| AMP: Adaptive Masked Proxies for Few-Shot Segmentation. | ICCV | 2019 | Link |
| Feature Weighting and Boosting for Few-Shot Segmentation. | ICCV | 2019 | Link |
| PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. | ICCV | 2019 | Link |
ECCV
Expand ECCV
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation. | ECCV | 2024 | Link |
| Eliminating Feature Ambiguity for Few-Shot Segmentation. | ECCV | 2024 | Link |
| Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. | ECCV | 2024 | Link |
| Localization and Expansion: A Decoupled Framework for Point Cloud Few-Shot Semantic Segmentation. | ECCV | 2024 | Link |
| Pseudo-embedding for Generalized Few-Shot 3D Segmentation. | ECCV | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Agent Transformer for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Cross-Domain Few-Shot Semantic Segmentation. | ECCV | 2022 | Link |
| Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Dense Gaussian Processes for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation. | ECCV | 2022 | Link |
| HM: Hybrid Masking for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Improving Few-Shot Part Segmentation Using Coarse Supervision. | ECCV | 2022 | Link |
| Interclass Prototype Relation for Few-Shot Segmentation. | ECCV | 2022 | Link |
| Less Than Few: Self-shot Video Instance Segmentation. | ECCV | 2022 | Link |
| Self-support Few-Shot Semantic Segmentation. | ECCV | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images. | ECCV | 2020 | Link |
| Few-Shot Semantic Segmentation with Democratic Attention Networks. | ECCV | 2020 | Link |
| Part-Aware Prototype Network for Few-Shot Semantic Segmentation. | ECCV | 2020 | Link |
| Prototype Mixture Models for Few-Shot Semantic Segmentation. | ECCV | 2020 | Link |
| Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. | ECCV | 2020 | Link |
IJCAI
Expand IJCAI
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation. | IJCAI | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation. | IJCAI | 2024 | Link |
| Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation. | IJCAI | 2024 | Link |
| Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation. | IJCAI | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation. | IJCAI | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation. | IJCAI | 2022 | Link |
| CATrans: Context and Affinity Transformer for Few-Shot Segmentation. | IJCAI | 2022 | Link |
| Iterative Few-shot Semantic Segmentation from Image Label Text. | IJCAI | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Self-Supervised Tuning for Few-Shot Segmentation. | IJCAI | 2020 | Link |
| SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. | IJCAI | 2020 | Link |
| Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. | IJCAI | 2020 | Link |
AAAI
Expand AAAI
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation. | AAAI | 2025 | Link |
| Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation. | AAAI | 2025 | Link |
| Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. | AAAI | 2025 | Link |
| FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation. | AAAI | 2025 | Link |
| Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation. | AAAI | 2025 | Link |
| Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation. | AAAI | 2025 | Link |
| SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation. | AAAI | 2025 | Link |
| Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation. | AAAI | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement. | AAAI | 2024 | Link |
| CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation. | AAAI | 2024 | Link |
| Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. | AAAI | 2024 | Link |
| Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training. | AAAI | 2024 | Link |
| MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. | AAAI | 2024 | Link |
| Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation. | AAAI | 2024 | Link |
| Task-Disruptive Background Suppression for Few-Shot Segmentation. | AAAI | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network. | AAAI | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. | AAAI | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. | AAAI | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. | AAAI | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. | AAAI | 2019 | Link |
WACV
Expand WACV
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks. | WACV | 2025 | Link |
| Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images. | WACV | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification. | WACV | 2024 | Link |
| Pixel Matching Network for Cross-Domain Few-Shot Segmentation. | WACV | 2024 | Link |
| Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning. | WACV | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation. | WACV | 2023 | Link |
| Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation. | WACV | 2023 | Link |
| Few-shot Medical Image Segmentation with Cycle-resemblance Attention. | WACV | 2023 | Link |
| Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. | WACV | 2023 | Link |
| Learning Few-shot Segmentation from Bounding Box Annotations. | WACV | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. | WACV | 2022 | Link |
| MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation. | WACV | 2022 | Link |
| Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. | WACV | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| On the Texture Bias for Few-Shot CNN Segmentation. | WACV | 2021 | Link |
| Variational Prototype Inference for Few-Shot Semantic Segmentation. | WACV | 2021 | Link |
| Weakly-supervised Object Representation Learning for Few-shot Semantic Segmentation. | WACV | 2021 | Link |
ACM Multimedia
Expand ACM Multimedia
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Anatomical Prior Guided Spatial Contrastive Learning for Few-Shot Medical Image Segmentation. | ACM Multimedia | 2024 | Link |
| Crossmodal Few-shot 3D Point Cloud Semantic Segmentation via View Synthesis. | ACM Multimedia | 2024 | Link |
| Dual-Branch Fusion with Style Modulation for Cross-Domain Few-Shot Semantic Segmentation. | ACM Multimedia | 2024 | Link |
| Few-shot Semantic Segmentation via Perceptual Attention and Spatial Control. | ACM Multimedia | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement. | ACM Multimedia | 2023 | Link |
| Incremental Few Shot Semantic Segmentation via Class-agnostic Mask Proposal and Language-driven Classifier. | ACM Multimedia | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Crossmodal Few-shot 3D Point Cloud Semantic Segmentation. | ACM Multimedia | 2022 | Link |
| Dynamic Transformer for Few-shot Instance Segmentation. | ACM Multimedia | 2022 | Link |
| Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation. | ACM Multimedia | 2022 | Link |
| Leveraging GAN Priors for Few-Shot Part Segmentation. | ACM Multimedia | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| ABPNet: Adaptive Background Modeling for Generalized Few Shot Segmentation. | ACM Multimedia | 2021 | Link |
| Deep Reasoning Network for Few-shot Semantic Segmentation. | ACM Multimedia | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Dynamic Extension Nets for Few-shot Semantic Segmentation. | ACM Multimedia | 2020 | Link |
IEEE Trans. Pattern Anal. Mach. Intell.
Expand IEEE Trans. Pattern Anal. Mach. Intell.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Bridge the Intra-Class Gap: K-Shot Multi-Scale Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| LLaFS++: Few-Shot Image Segmentation With Large Language Models. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Prompt-and-Transfer: Dynamic Class-Aware Enhancement for Few-Shot Segmentation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Base and Meta: A New Perspective on Few-Shot Segmentation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
| Holistic Prototype Activation for Few-Shot Segmentation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Prior Guided Feature Enrichment Network for Few-Shot Segmentation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2022 | Link |
IEEE Trans. Image Process.
Expand IEEE Trans. Image Process.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Cross-Domain Few-Shot Medical Image Segmentation via Dynamic Semantic Matching. | IEEE Trans. Image Process. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation. | IEEE Trans. Image Process. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Prediction Calibration for Generalized Few-Shot Semantic Segmentation. | IEEE Trans. Image Process. | 2023 | Link |
| Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation. | IEEE Trans. Image Process. | 2023 | Link |
| Retain and Recover: Delving Into Information Loss for Few-Shot Segmentation. | IEEE Trans. Image Process. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| DRNet: Double Recalibration Network for Few-Shot Semantic Segmentation. | IEEE Trans. Image Process. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Harmonic Feature Activation for Few-Shot Semantic Segmentation. | IEEE Trans. Image Process. | 2021 | Link |
IEEE Trans. Neural Networks Learn. Syst.
Expand IEEE Trans. Neural Networks Learn. Syst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| SDSimPoint: Shallow-Deep Similarity Learning for Few-Shot Point Cloud Semantic Segmentation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Part-Based Semantic Transform for Few-Shot Semantic Segmentation. | IEEE Trans. Neural Networks Learn. Syst. | 2022 | Link |
IEEE Trans. Artif. Intell.
Expand IEEE Trans. Artif. Intell.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Boosting Few-Shot Semantic Segmentation With Prior-Driven Edge Feature Enhancement Network. | IEEE Trans. Artif. Intell. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Dense Multicross Self-Attention and Adaptive Gated Perceptual Unit Method for Few-Shot Semantic Segmentation. | IEEE Trans. Artif. Intell. | 2024 | Link |
IEEE Trans. Medical Imaging
Expand IEEE Trans. Medical Imaging
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Dual Interspersion and Flexible Deployment for Few-Shot Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2025 | Link |
| Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation. | IEEE Trans. Medical Imaging | 2025 | Link |
| Prototype-Guided Graph Reasoning Network for Few-Shot Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. | IEEE Trans. Medical Imaging | 2024 | Link |
| Prototype Correlation Matching and Class- Relation Reasoning for Few-Shot Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs. | IEEE Trans. Medical Imaging | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Self-Supervised Learning for Few-Shot Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. | IEEE Trans. Medical Imaging | 2021 | Link |
| IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound. | IEEE Trans. Medical Imaging | 2021 | Link |
| Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2021 | Link |
IEEE Trans. Emerg. Top. Comput. Intell.
Expand IEEE Trans. Emerg. Top. Comput. Intell.
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
IEEE Trans. Intell. Transp. Syst.
Expand IEEE Trans. Intell. Transp. Syst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Cross-Scale Guidance Network for Few-Shot Moving Foreground Object Segmentation. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| HMFENet: Hierarchical Matching Guided Feature Enhancement Network for Few-Shot RGB-Thermal Urban Scene Segmentation. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
IEEE J. Biomed. Health Informatics
Expand IEEE J. Biomed. Health Informatics
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot Medical Image Segmentation With High-Confidence Prior Mask. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| Multi-Objective Evolutionary Optimization Boosted Deep Neural Networks for Few-Shot Medical Segmentation With Noisy Labels. | IEEE J. Biomed. Health Informatics | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Retina-TransNet: A Gradient-Guided Few-Shot Retinal Vessel Segmentation Net. | IEEE J. Biomed. Health Informatics | 2023 | Link |
Int. J. Comput. Vis.
Expand Int. J. Comput. Vis.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| AgMTR: Agent Mining Transformer for Few-Shot Segmentation in Remote Sensing. | Int. J. Comput. Vis. | 2025 | Link |
| DM-PCL: Text-Driven Dual-Modal Prototype Consistency Learning for Weakly-Supervised Few-Shot Part Segmentation. | Int. J. Comput. Vis. | 2025 | Link |
| Few-Shot Referring Video Single- and Multi-Object Segmentation Via Cross-Modal Affinity with Instance Sequence Matching. | Int. J. Comput. Vis. | 2025 | Link |
| Temporal Transductive Inference for Few-Shot Video Object Segmentation. | Int. J. Comput. Vis. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-Shot Segmentation via Divide-and-Conquer Proxies. | Int. J. Comput. Vis. | 2024 | Link |
| Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. | Int. J. Comput. Vis. | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| CRCNet: Few-Shot Segmentation with Cross-Reference and Region-Global Conditional Networks. | Int. J. Comput. Vis. | 2022 | Link |
Comput. Vis. Image Underst.
Expand Comput. Vis. Image Underst.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-shot Medical Image Segmentation via Boundary-extended Prototypes and Momentum Inference. | Comput. Vis. Image Underst. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Boosting few-shot point cloud segmentation with intra-class correlation and iterative prototype fusion. | Comput. Vis. Image Underst. | 2025 | Link |
| Incremental few-shot instance segmentation via feature enhancement and prototype calibration. | Comput. Vis. Image Underst. | 2025 | Link |
| Incremental few-shot instance segmentation without fine-tuning on novel classes. | Comput. Vis. Image Underst. | 2025 | Link |
| MSCA: A few-shot segmentation framework driven by multi-scale cross-attention and information extraction. | Comput. Vis. Image Underst. | 2025 | Link |
| Multi-scale feature fusion based SAM for high-quality few-shot medical image segmentation. | Comput. Vis. Image Underst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Found missing semantics: Supplemental prototype network for few-shot semantic segmentation. | Comput. Vis. Image Underst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| An efficient framework for few-shot skeleton-based temporal action segmentation. | Comput. Vis. Image Underst. | 2023 | Link |
| POEM: A prototype cross and emphasis network for few-shot semantic segmentation. | Comput. Vis. Image Underst. | 2023 | Link |
Pattern Recognit.
Expand Pattern Recognit.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond mask: Rethinking guidance types in few-shot segmentation. | Pattern Recognit. | 2025 | Link |
| Efficient Sampling-based Gaussian Processes for few-shot semantic segmentation. | Pattern Recognit. | 2025 | Link |
| PartSeg: Few-shot part segmentation via part-aware prompt learning. | Pattern Recognit. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A learnable support selection scheme for boosting few-shot segmentation. | Pattern Recognit. | 2024 | Link |
| Blessing few-shot segmentation via semi-supervised learning with noisy support images. | Pattern Recognit. | 2024 | Link |
| Learning Foreground Information Bottleneck for few-shot semantic segmentation. | Pattern Recognit. | 2024 | Link |
| Learning self-target knowledge for few-shot segmentation. | Pattern Recognit. | 2024 | Link |
| Meta-learners for few-shot weakly-supervised medical image segmentation. | Pattern Recognit. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Attentional prototype inference for few-shot segmentation. | Pattern Recognit. | 2023 | Link |
| Hybrid feature enhancement network for few-shot semantic segmentation. | Pattern Recognit. | 2023 | Link |
| Self-regularized prototypical network for few-shot semantic segmentation. | Pattern Recognit. | 2023 | Link |
| Uncertainty-aware semi-supervised few shot segmentation. | Pattern Recognit. | 2023 | Link |
Pattern Recognit. Lett.
Expand Pattern Recognit. Lett.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation. | Pattern Recognit. Lett. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Learning De-biased prototypes for Few-shot Medical Image Segmentation. | Pattern Recognit. Lett. | 2024 | Link |
| Two-stage feature distribution rectification for few-shot point cloud semantic segmentation. | Pattern Recognit. Lett. | 2024 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| SML: Semantic meta-learning for few-shot semantic segmentation☆. | Pattern Recognit. Lett. | 2021 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data. | Pattern Recognit. Lett. | 2019 | Link |
Medical Image Anal.
Expand Medical Image Anal.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient few-shot medical image segmentation via self-supervised variational autoencoder. | Medical Image Anal. | 2025 | Link |
| Few-shot medical image segmentation with high-fidelity prototypes. | Medical Image Anal. | 2025 | Link |
| LMS-Net: A learned Mumford-Shah network for binary few-shot medical image segmentation. | Medical Image Anal. | 2025 | Link |
| Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. | Medical Image Anal. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive dynamic inference for few-shot left atrium segmentation. | Medical Image Anal. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. | Medical Image Anal. | 2023 | Link |
| Learning what and where to segment: A new perspective on medical image few-shot segmentation. | Medical Image Anal. | 2023 | Link |
| Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. | Medical Image Anal. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A transfer learning approach to few-shot segmentation of novel white matter tracts. | Medical Image Anal. | 2022 | Link |
| Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. | Medical Image Anal. | 2022 | Link |
| SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning. | Medical Image Anal. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences. | Medical Image Anal. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| 'Squeeze & excite' guided few-shot segmentation of volumetric images. | Medical Image Anal. | 2020 | Link |
Comput. Medical Imaging Graph.
Expand Comput. Medical Imaging Graph.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| CGNet: Few-shot learning for Intracranial Hemorrhage Segmentation. | Comput. Medical Imaging Graph. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| AFSegNet: few-shot 3D ankle-foot bone segmentation via hierarchical feature distillation and multi-scale attention and fusion. | Comput. Medical Imaging Graph. | 2024 | Link |
| PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation. | Comput. Medical Imaging Graph. | 2024 | Link |
Knowl. Based Syst.
Expand Knowl. Based Syst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Bidirectional consistent hypercorrelation network for cross-domain few-shot segmentation. | Knowl. Based Syst. | 2025 | Link |
| DPNet: A dual prototype few-shot semantic segmentation network for crack detection. | Knowl. Based Syst. | 2025 | Link |
| Enhancing feature interaction for improved generalization in few-shot metal surface defect segmentation. | Knowl. Based Syst. | 2025 | Link |
| Few-shot 3D point cloud segmentation with unknown class number. | Knowl. Based Syst. | 2025 | Link |
| LLM Knowledge-Driven Target Prototype Learning for Few-Shot Segmentation. | Knowl. Based Syst. | 2025 | Link |
| Learning prototypes from background and latent objects for few-shot semantic segmentation. | Knowl. Based Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-shot online anomaly detection and segmentation. | Knowl. Based Syst. | 2024 | Link |
| Learning robust correlation with foundation model for weakly-supervised few-shot segmentation. | Knowl. Based Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Lite-FENet: Lightweight multi-scale feature enrichment network for few-shot segmentation. | Knowl. Based Syst. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation. | Knowl. Based Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection. | Knowl. Based Syst. | 2021 | Link |
Expert Syst. Appl.
Expand Expert Syst. Appl.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| ABE-Mamba: Few-shot medical image segmentation via adversarial bidirectional enhanced Mamba. | Expert Syst. Appl. | 2026 | Link |
| APENet: Task-aware adaptation prototype evolution network for few-shot semantic segmentation. | Expert Syst. Appl. | 2026 | Link |
| CLIP-driven feature disambiguation and cross-modal synergy for few-shot semantic segmentation. | Expert Syst. Appl. | 2026 | Link |
| D2SFNet: Dual-domain spatial-frequency network for few-shot medical image segmentation. | Expert Syst. Appl. | 2026 | Link |
| MCIFSS:Mask-guided modality collaboration with global-local discriminative synergy for incremental few-shot semantic segmentation. | Expert Syst. Appl. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Combining hierarchical sparse representation with adaptive prompt for few-shot segmentation. | Expert Syst. Appl. | 2025 | Link |
| Low-complexity speaker embedding module with feature segmentation, transformation and reconstruction for few-shot speaker identification. | Expert Syst. Appl. | 2025 | Link |
| On filling the intra-class and inter-class gaps for few-shot segmentation. | Expert Syst. Appl. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A pseudo-labeling based weakly supervised segmentation method for few-shot texture images. | Expert Syst. Appl. | 2024 | Link |
Neural Networks
Expand Neural Networks
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Uncertainty guided semi-supervised few-shot segmentation with prototype level fusion. | Neural Networks | 2025 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A conditional Triplet loss for few-shot learning and its application to image co-segmentation. | Neural Networks | 2021 | Link |
Neurocomputing
Expand Neurocomputing
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| CMaP-SAM: Contraction mapping prior for SAM-driven few-shot segmentation. | Neurocomputing | 2026 | Link |
| CrossSeg-GvT: multi-view graph vision transformers with context-aware memory and meta prompting for cross-domain few-shot semantic segmentation. | Neurocomputing | 2026 | Link |
| Density-aware few-parametric networks for robust few-shot point cloud semantic segmentation. | Neurocomputing | 2026 | Link |
| Enhancing few-shot segmentation via mask combination learning. | Neurocomputing | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Bi-orientated rectification few-shot segmentation network based on fine-grained prototypes. | Neurocomputing | 2025 | Link |
| Fastener anomaly detection for industrial assembly scenarios based on few-shot fine-grained component segmentation. | Neurocomputing | 2025 | Link |
| Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation. | Neurocomputing | 2025 | Link |
| PONet: Prototype optimization network for few-shot medical image segmentation. | Neurocomputing | 2025 | Link |
| Rank-constrained correspondence network for few-shot segmentation. | Neurocomputing | 2025 | Link |
| Word vector embedding and self-supplementing network for Generalized Few-shot Semantic Segmentation. | Neurocomputing | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. | Neurocomputing | 2024 | Link |
| Dense affinity matching for Few-Shot Segmentation. | Neurocomputing | 2024 | Link |
| Self-support matching networks with multiscale attention for few-shot semantic segmentation. | Neurocomputing | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Prototype expansion and feature calibration for few-shot point cloud semantic segmentation. | Neurocomputing | 2023 | Link |
| Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions. | Neurocomputing | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Task-aware adaptive attention learning for few-shot semantic segmentation. | Neurocomputing | 2022 | Link |
Neural Comput. Appl.
Expand Neural Comput. Appl.
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A lightweight siamese transformer for few-shot semantic segmentation. | Neural Comput. Appl. | 2024 | Link |
| Few-shot video object segmentation with prototype evolution. | Neural Comput. Appl. | 2024 | Link |
| Self-supervised few-shot medical image segmentation with spatial transformations. | Neural Comput. Appl. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Few-shot semantic segmentation: a review on recent approaches. | Neural Comput. Appl. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Kernel-based similarity sorting and allocation for few-shot semantic segmentation. | Neural Comput. Appl. | 2022 | Link |
| Multi-scale attentional similarity guidance network for few-shot semantic segmentation. | Neural Comput. Appl. | 2022 | Link |
Inf. Sci.
Expand Inf. Sci.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Structural propagation dual-prototype refinement network for few-shot 3D point cloud segmentation. | Inf. Sci. | 2026 | Link |