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 2971–2980 of 5035 papers

Title	Date	Tasks	Status
TeST: Test-time Self-Training under Distribution Shift	Sep 23, 2022	Domain AdaptationImage Segmentation	—Unverified
Grsnet: gated residual supervision network for pixel-wise building segmentation in remote sensing imagery	Sep 23, 2022	Image SegmentationSegmentation Of Remote Sensing Imagery	—Unverified
Segmentation of patchy areas in biomedical images based on local edge density estimation	Sep 22, 2022	Density EstimationImage Segmentation	—Unverified
Graph Neural Network and Superpixel Based Brain Tissue Segmentation (Corrected Version)	Sep 21, 2022	Graph Neural NetworkImage Segmentation	—Unverified
CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation	Sep 18, 2022	Image SegmentationManagement	CodeCode Available
Can segmentation models be trained with fully synthetically generated data?	Sep 17, 2022	Data AugmentationEthics	—Unverified
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks	Sep 17, 2022	Computed Tomography (CT)Image Segmentation	CodeCode Available
Contrastive Re-localization and History Distillation in Federated CMR Segmentation	Sep 16, 2022	Federated LearningImage Segmentation	—Unverified
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss	Sep 16, 2022	Deep LearningImage Segmentation	—Unverified
Whole-Body Lesion Segmentation in 18F-FDG PET/CT	Sep 16, 2022	Image SegmentationLesion Segmentation	CodeCode Available

Show:10 25 50

← PrevPage 298 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