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 3251–3260 of 5035 papers

Title	Date	Tasks	Status
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation	Jan 24, 2024	Image SegmentationSegmentation	—Unverified
Segment Anything for Microscopy	Aug 22, 2023	Image SegmentationInstance Segmentation	—Unverified
Segment anything, from space?	Apr 25, 2023	Image SegmentationSegmentation	—Unverified
Segment Anything in Pathology Images with Natural Language	Jun 26, 2025	DiagnosticFeature Importance	—Unverified
Segment Anything Meets Semantic Communication	Jun 3, 2023	Image ReconstructionImage Segmentation	—Unverified
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO	Jun 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Segment Anything Model for Brain Tumor Segmentation	Sep 15, 2023	Brain Tumor SegmentationImage Segmentation	—Unverified
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging	Apr 9, 2023	Image SegmentationMedical Image Analysis	—Unverified
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification	Nov 17, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes	May 1, 2015	Image RestorationImage Segmentation	—Unverified

Show:10 25 50

← PrevPage 326 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