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 1531–1540 of 5035 papers

Title	Date	Tasks	Status
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving	Nov 17, 2017	Autonomous DrivingGeneral Classification	—Unverified
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision	Nov 9, 2019	Defect DetectionFault Detection	—Unverified
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision	Jan 13, 2021	Diagnosticimage-classification	—Unverified
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation	Dec 17, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images	Aug 5, 2024	DiversityImage Segmentation	—Unverified
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation	Mar 3, 2020	AutoMLImage Segmentation	—Unverified
BUNET: Blind Medical Image Segmentation Based on Secure UNET	Jul 14, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation	Jan 1, 2025	DecoderImage Segmentation	—Unverified
Fast Constraint Propagation for Image Segmentation	Feb 5, 2015	Image SegmentationSegmentation	—Unverified
Building Networks for Image Segmentation using Particle Competition and Cooperation	Feb 14, 2020	Image SegmentationSegmentation	—Unverified

Show:10 25 50

← PrevPage 154 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