SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 151–168 of 168 papers

Title	Date	Tasks	Status	Hype	Score
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation	Aug 9, 2023	Few-Shot Semantic SegmentationGeneralized Few-Shot Semantic Segmentation	—Unverified	0	0
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation	Oct 1, 2019	Few-Shot Semantic SegmentationGraph Attention	—Unverified	0	0
Reflection Invariance Learning for Few-shot Semantic Segmentation	Jun 1, 2023	Few-Shot Semantic SegmentationSegmentation	—Unverified	0	0
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation	Dec 11, 2023	Few-Shot Semantic SegmentationSemantic Segmentation	—Unverified	0	0
Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer	Jan 1, 2022	Contrastive LearningCross-Domain Few-Shot	—Unverified	0	0
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes	Apr 19, 2021	Few-Shot Semantic SegmentationMetric Learning	—Unverified	0	0
SegGPT: Towards Segmenting Everything in Context	Jan 1, 2023	Few-Shot Semantic SegmentationIn-Context Learning	—Unverified	0	0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals	Nov 21, 2024	Few-Shot Semantic SegmentationSegmentation	—Unverified	0	0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models	Nov 22, 2023	Few-Shot Semantic SegmentationPrompt Learning	—Unverified	0	0
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation	Jun 9, 2025	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	—Unverified	0	0
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models	Apr 19, 2024	Few-Shot Semantic SegmentationSegmentation	—Unverified	0	0
SML: Semantic Meta-learning for Few-shot Semantic Segmentation	Sep 14, 2020	Few-Shot Semantic SegmentationMeta-Learning	—Unverified	0	0
Target-aware Bi-Transformer for Few-shot Segmentation	Sep 18, 2023	Few-Shot Semantic SegmentationSegmentation	—Unverified	0	0
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation	Oct 16, 2024	Few-Shot Semantic SegmentationIncremental Learning	—Unverified	0	0
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	0	0
Unsupervised augmentation optimization for few-shot medical image segmentation	Jun 8, 2023	AnatomyFew-Shot Semantic Segmentation	—Unverified	0	0
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond	Aug 15, 2023	Few-Shot Semantic SegmentationSegmentation	—Unverified	0	0
Weakly Supervised Few-Shot Segmentation Via Meta-Learning	Sep 3, 2021	Few-Shot Semantic SegmentationMeta-Learning	—Unverified	0	0

Show:10 25 50

← PrevPage 4 of 4Next →

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