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 2551–2560 of 5035 papers

Title	Date	Tasks	Status
Style Augmentation improves Medical Image Segmentation	Nov 2, 2022	Data AugmentationImage Segmentation	—Unverified
Style Curriculum Learning for Robust Medical Image Segmentation	Aug 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Style-invariant Cardiac Image Segmentation with Test-time Augmentation	Sep 24, 2020	AnatomyCardiac Segmentation	—Unverified
Data augmentation in microscopic images for material data mining	May 12, 2019	Data AugmentationImage Segmentation	—Unverified
Subspace Learning in The Presence of Sparse Structured Outliers and Noise	Mar 14, 2017	ClusteringImage Segmentation	—Unverified
Supervision by Denoising for Medical Image Segmentation	Feb 7, 2022	DenoisingImage Reconstruction	—Unverified
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	Jun 15, 2017	Active LearningImage Segmentation	—Unverified
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling	Jun 2, 2022	Brain SegmentationImage Segmentation	—Unverified
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling	Jun 26, 2020	BIG-bench Machine LearningImage Segmentation	—Unverified
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training	Apr 20, 2025	Contrastive LearningImage Segmentation	—Unverified

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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