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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 111–120 of 168 papers

Title	Date	Tasks	Status	Hype
Cost Aggregation Is All You Need for Few-Shot Segmentation	Dec 22, 2021	AllDecoder	CodeCode Available	1
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning	Dec 21, 2021	AllFew-Shot Semantic Segmentation	—Unverified	0
Meta-Learning via Learning with Distributed Memory	Dec 1, 2021	Few-Shot Semantic SegmentationMeta-Learning	—Unverified	0
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation	Nov 24, 2021	Few-Shot Semantic SegmentationMetric Learning	—Unverified	0
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation	Nov 9, 2021	Contrastive LearningFew-Shot Semantic Segmentation	CodeCode Available	0
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation	Nov 2, 2021	Few-Shot Semantic SegmentationMeta-Learning	—Unverified	0
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning	Oct 30, 2021	Few-Shot LearningFew-Shot Semantic Segmentation	—Unverified	0
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation	Oct 23, 2021	Few-Shot LearningFew-Shot Semantic Segmentation	CodeCode Available	1
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation	Oct 22, 2021	Autonomous DrivingCross-Domain Few-Shot	CodeCode Available	1
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes	Oct 22, 2021	Few-Shot Semantic SegmentationSegmentation	CodeCode Available	0

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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	DCAMA (ResNet-101)	FB-IoU	77.6	—	Unverified
3	PGMA-Net (ResNet-101)	Mean 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