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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 41–50 of 168 papers

Title	Date	Tasks	Status	Hype
Learning Non-target Knowledge for Few-shot Semantic Segmentation	May 10, 2022	Contrastive LearningFew-Shot Semantic Segmentation	CodeCode Available	1
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation	Apr 21, 2022	DecoderFew-Shot Semantic Segmentation	CodeCode Available	1
Integrative Few-Shot Learning for Classification and Segmentation	Mar 29, 2022	ClassificationFew-Shot Classification and Segmentation	CodeCode Available	1
Cross-Domain Few-Shot Semantic Segmentation	Mar 24, 2022	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	CodeCode Available	1
Multi-similarity based Hyperrelation Network for few-shot segmentation	Mar 17, 2022	Few-Shot Semantic SegmentationSegmentation	CodeCode Available	1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels	Mar 3, 2022	Anomaly DetectionCardiac Segmentation	CodeCode Available	1
Cost Aggregation Is All You Need for Few-Shot Segmentation	Dec 22, 2021	AllDecoder	CodeCode Available	1
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
Dense Gaussian Processes for Few-Shot Segmentation	Oct 7, 2021	DecoderFew-Shot Semantic Segmentation	CodeCode Available	1

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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