Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2871–2880 of 5035 papers

Title	Date	Tasks	Status
Feature Sensitive Label Fusion with Random Walker for Atlas-based Image Segmentation	Oct 24, 2016	Image SegmentationSemantic Segmentation	—Unverified
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation	Nov 7, 2024	Federated LearningImage Segmentation	—Unverified
Federated Contrastive Learning for Volumetric Medical Image Segmentation	Apr 23, 2022	Contrastive LearningFederated Learning	—Unverified
Federated Data Model	Mar 13, 2024	DiversityImage Segmentation	—Unverified
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach	Dec 25, 2024	Federated LearningImage Segmentation	—Unverified
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation	Mar 30, 2025	Federated LearningImage Segmentation	—Unverified
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency	Mar 19, 2024	Data AugmentationFederated Learning	—Unverified
Federated Unsupervised Semantic Segmentation	May 29, 2025	Federated LearningImage Segmentation	—Unverified
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation	Mar 19, 2025	Computational EfficiencyFederated Learning	—Unverified
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation	Jan 13, 2025	Domain GeneralizationImage Segmentation	—Unverified

Show:10 25 50

← PrevPage 288 of 504Next →

All datasets MSD (Mirror Segmentation Dataset)PMD MAS3K Pascal Panoptic Parts RMAS PASCAL VOC HuTu 80 MARIDA COCO val2017 ImageNet MSD Heart OxfordPets

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SAM2-UNet	IoU	0.92	—	Unverified
2	HetNet	IoU	0.83	—	Unverified
3	PMD	IoU	0.82	—	Unverified
4	SANet	IoU	0.8	—	Unverified
5	MirrorNet	IoU	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAM2-UNet	IoU	0.73	—	Unverified
2	HetNet	IoU	0.69	—	Unverified
3	SANet	IoU	0.67	—	Unverified
4	PMD	IoU	0.66	—	Unverified
5	MirrorNet	IoU	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAM2-UNet	mIoU	0.8	—	Unverified
2	MAS-SAM	mIoU	0.79	—	Unverified
3	MASNet	mIoU	0.74	—	Unverified
4	ZoomNet	mIoU	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HIPIE (ViT-H)	mIoUPartS	63.8	—	Unverified
2	PPS	mIoUPartS	58.6	—	Unverified
3	HIPIE (ResNet-50)	mIoUPartS	57.2	—	Unverified
4	JPPF	mIoUPartS	54.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MAS-SAM	mIoU	0.74	—	Unverified
2	SAM2-UNet	mIoU	0.74	—	Unverified
3	MASNet	mIoU	0.73	—	Unverified
4	ZoomNet	mIoU	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OneNete,4-C	mIoU	63.6	—	Unverified
2	OneNete,4-S	mAP0.5	52.75	—	Unverified
3	OneNeted,4	mIoU	14.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNetR	Dice	0.98	—	Unverified
2	PALED	Dice	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResAttUNet	IoU	0.67	—	Unverified
2	UNet	IoU	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SynCo (ResNet-50) 200ep	mask AP	35.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MobileOne-S0	GFLOPs	0.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OneNete,4	mIoU	6.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OneNete,4-C	Dice Score	0.97	—	Unverified