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