Few Shot Semantic Segmentation Papers 
NOTE: If your paper is not in the list, plese feel free to raise an issue or drop me an e-mail.
2023
| Title | Venue | CODE | |
|---|---|---|---|
| Few Shot Semantic Segmentation: a review of methodologies and open challenges | arXiv | - | |
| Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation | WACV | - |
2022
| Title | Venue | CODE | |
|---|---|---|---|
| Few-shot Medical Image Segmentation with Cycle-resemblance Attention | WACV | - | |
| Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning | NeurIPS | CODE | |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation | ECCV | CODE | |
| Cross-Domain Few-Shot Semantic Segmentation | ECCV | CODE | |
| Self-Support Few-Shot Semantic Segmentation | ECCV | CODE | |
| Interclass Prototype Relation for Few-Shot Segmentation | ECCV | CODE | |
| Generalized Few-shot Semantic Segmentation | CVPR | CODE | |
| Integrative Few-Shot Learning for Classification and Segmentation | CVPR | CODE | |
| Learning What Not to Segment: A New Perspective on Few-Shot Segmentation | CVPR | CODE | |
| APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation | TMM | - | |
| MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation | arXiv | CODE |
2021
| Title | Venue | CODE | |
|---|---|---|---|
| Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes | BMVC | CODE | |
| Rich Embedding Features for One-Shot Semantic Segmentation | TNNLS | - | |
| Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer | ICCV | CODE | |
| Hypercorrelation Squeeze for Few-Shot Segmentation | ICCV | CODE | |
| Mining Latent Classes for Few-shot Segmentation | ICCV | CODE | |
| Few-Shot Semantic Segmentation with Cyclic Memory Network | ICCV | - | |
| Learning Meta-class Memory for Few-Shot Semantic Segmentation | ICCV | CODE | |
| Progressive One-Shot Human Parsing | AAAI | CODE | |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation | AAAI | CODE | |
| Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation | CVPR | - | |
| Adaptive Prototype Learning and Allocation for Few-Shot Segmentation | CVPR | CODE | |
| Self-Guided and Cross-Guided Learning for Few-Shot Segmentation | CVPR | CODE | |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | CVPR | CODE | |
| On the Texture Bias for Few-Shot CNN Segmentation | WACV | CODE | |
| A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation | ISBI | - | |
| Dense Gaussian Processes for Few-Shot Segmentation | arXiv | - | |
| End-to-end One-shot Human Parsing | arXiv | - | |
| Few-Shot Segmentation with Global and Local Contrastive Learning | arXiv | - | |
| Few-shot Segmentation with Optimal Transport Matching and Message Flow | arXiv | - | |
| Uncertainty-Aware Semi-Supervised Few Shot Segmentation | arXiv | - |
2020
| Title | Venue | CODE | |
|---|---|---|---|
| Prior Guided Feature Enrichment Network for Few-Shot Segmentation | TPAMI | CODE | |
| Dynamic Extension Nets for Few-shot Semantic Segmentation | MM | CODE | |
| Semi-supervised few-shot learning for medical image segmentation | arXiv | CODE | |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | arXiv | CODE | |
| Meta-Learning Initializations for Image Segmentation | NeurIPS-W | CODE | |
| BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation | arXiv | CODE | |
| Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation | ECCV | CODE | |
| Generalized Few-Shot Semantic Segmentation | arXiv | - | |
| FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation | CVPR | CODE | |
| Few-Shot Semantic Segmentation with Democratic Attention Networks | ECCV | - | |
| Prototype Mixture Models for Few-shot Semantic Segmentation | ECCV | CODE | |
| PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation | TPAMI | CODE | |
| Part-aware Prototype Network for Few-shot Semantic Segmentation | ECCV | CODE | |
| SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation | IJCAI | - | |
| Objectness-Aware One-Shot Semantic Segmentation | arXiv | - | |
| Self-Supervised Tuning for Few-Shot Segmentation | arXiv | - | |
| SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation | TCYB | CODE | |
| CAFENet: Class-Agnostic Few-Shot Edge Detection Network | arXiv | - | |
| FGN: Fully Guided Network for Few-Shot Instance Segmentation | CVPR | - | |
| CRNet: Cross-Reference Networks for Few-Shot Segmentation | CVPR | - | |
| Differentiable Meta-learning Model for Few-shot Semantic Segmentation | AAAI | - | |
| Prototype Refinement Network for Few-Shot Segmentation | arXiv | - | |
| Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings | IJCAI | - |
2019
| Title | Venue | CODE | |
|---|---|---|---|
| Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation | AAAI | CODE | |
| A deep one-shot network for query-based logo retrieval | PR | - | |
| PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment | ICCV | CODE | |
| Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation | ICCV | - | |
| AMP: Adaptive Masked Proxies for Few-Shot Segmentation | ICCV | CODE | |
| Feature Weighting and Boosting for Few-Shot Segmentation | ICCV | - | |
| CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning | CVPR | CODE | |
| Adaptive Masked Weight Imprinting for Few-Shot Segmentation | ICLRW | - | |
| A New Local Transformation Module for Few-Shot Segmentation | MMMM | ||
| A New Few-shot Segmentation Network Based on Class Representation | arXiv |
2018
| Title | Venue | CODE | |
|---|---|---|---|
| Conditional networks for few-shot semantic segmentation | ICLRW | CODE | |
| Few-Shot Semantic Segmentation with Prototype Learning | BMVC | - |
2017
| Title | Venue | CODE | |
|---|---|---|---|
| One-Shot Learning for Semantic Segmentation | BMVC | CODE |