Few-Shot Semantic Segmentation

Few-shot semantic segmentation (FSS) learns to segment target objects in query image given few pixel-wise annotated support image.

Papers

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Showing 126–150 of 168 papers

Title	Date	Tasks	Status
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals	Nov 21, 2024	Few-Shot Semantic SegmentationSegmentation	—Unverified
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models	Nov 22, 2023	Few-Shot Semantic SegmentationPrompt Learning	—Unverified
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation	Oct 30, 2022	Few-Shot Semantic SegmentationSegmentation	—Unverified
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models	Apr 19, 2024	Few-Shot Semantic SegmentationSegmentation	—Unverified
SML: Semantic Meta-learning for Few-shot Semantic Segmentation	Sep 14, 2020	Few-Shot Semantic SegmentationMeta-Learning	—Unverified
Target-aware Bi-Transformer for Few-shot Segmentation	Sep 18, 2023	Few-Shot Semantic SegmentationSegmentation	—Unverified
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation	Oct 16, 2024	Few-Shot Semantic SegmentationIncremental Learning	—Unverified
Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions	Mar 29, 2022	Few-Shot Semantic SegmentationSegmentation	—Unverified
Unsupervised augmentation optimization for few-shot medical image segmentation	Jun 8, 2023	AnatomyFew-Shot Semantic Segmentation	—Unverified
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond	Aug 15, 2023	Few-Shot Semantic SegmentationSegmentation	—Unverified
Weakly Supervised Few-Shot Segmentation Via Meta-Learning	Sep 3, 2021	Few-Shot Semantic SegmentationMeta-Learning	—Unverified
A dense subgraph based algorithm for compact salient image region detection	Nov 20, 2015	Few-Shot Semantic Segmentation	CodeCode Available
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation	Oct 1, 2024	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	CodeCode Available
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation	Jun 19, 2021	Few-Shot Semantic SegmentationGraph Neural Network	CodeCode Available
Adaptive Masked Proxies for Few-Shot Segmentation	Feb 19, 2019	Continual LearningFew-Shot Semantic Segmentation	CodeCode Available
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation	Nov 9, 2021	Contrastive LearningFew-Shot Semantic Segmentation	CodeCode Available
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors	Jan 1, 2024	Few-Shot Semantic SegmentationSegmentation	CodeCode Available
Learning to Segment Medical Images from Few-Shot Sparse Labels	Aug 12, 2021	Few-Shot Semantic SegmentationMedical Image Segmentation	CodeCode Available
Clustered-patch Element Connection for Few-shot Learning	Apr 20, 2023	Few-Shot LearningFew-Shot Semantic Segmentation	CodeCode Available
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning	Mar 6, 2019	Few-Shot LearningFew-Shot Semantic Segmentation	CodeCode Available
HM: Hybrid Masking for Few-Shot Segmentation	Mar 24, 2022	Few-Shot Semantic SegmentationSegmentation	CodeCode Available
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation	Mar 24, 2023	Few-Shot Semantic SegmentationGeneralized Few-Shot Semantic Segmentation	CodeCode Available
MSI: Maximize Support-Set Information for Few-Shot Segmentation	Dec 9, 2022	Few-Shot Semantic Segmentation	CodeCode Available
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images	Apr 1, 2025	Few-Shot Semantic SegmentationSemantic Segmentation	CodeCode Available
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation	Jul 29, 2019	Few-Shot Semantic SegmentationObject	CodeCode Available

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All datasets PASCAL-5i (1-Shot)PASCAL-5i (5-Shot)COCO-20i (1-shot)COCO-20i (5-shot)FSS-1000 (1-shot)FSS-1000 (5-shot)COCO-20i -> Pascal VOC (1-shot)COCO-20i -> Pascal VOC (5-shot)COCO-20i (2-way 1-shot)COCO-20i (10-shot)PASCAL-5i (10-Shot)FSS-1000

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SegGPT (ViT)	Mean IoU	83.2	—	Unverified
2	PGMA-Net (ResNet-101)	Mean IoU	77.6	—	Unverified
3	DCAMA (ResNet-101)	FB-IoU	77.6	—	Unverified
4	PGMA-Net (ResNet-50)	Mean IoU	74.1	—	Unverified
5	PGMA-Net (ViT-B/16)	Mean IoU	74.1	—	Unverified
6	GF-SAM (DINOv2)	Mean IoU	72.1	—	Unverified
7	HMNet (ResNet-50)	Mean IoU	70.4	—	Unverified
8	AENet (ResNet-50)	Mean IoU	70.3	—	Unverified
9	HDMNet (DifFSS, ResNet-50)	Mean IoU	70.2	—	Unverified
10	VAT + MSI (ResNet-101)	Mean IoU	70.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SegGPT (ViT)	Mean IoU	89.8	—	Unverified
2	GF-SAM (DINOv2)	Mean IoU	82.6	—	Unverified
3	PGMA-Net (ResNet-101)	Mean IoU	78.6	—	Unverified
4	FPTrans (DeiT-B/16)	Mean IoU	78	—	Unverified
5	DGPNet (ResNet-101)	Mean IoU	75.4	—	Unverified
6	PGMA-Net (ResNet-50)	Mean IoU	75.2	—	Unverified
7	DCAMA (Swin-B)	Mean IoU	74.9	—	Unverified
8	PGMA-Net (ViT-B/16)	Mean IoU	74.6	—	Unverified
9	AENet (ResNet-50)	Mean IoU	74.2	—	Unverified
10	HMNet (ResNet-50)	Mean IoU	74.1	—	Unverified