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 1101–1110 of 5035 papers

Title	Date	Tasks	Status	Hype
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation	May 2, 2024	Active LearningCell Segmentation	—Unverified	0
ASAM: Boosting Segment Anything Model with Adversarial Tuning	May 1, 2024	Image Segmentationmodel	CodeCode Available	2
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation	May 1, 2024	Image SegmentationKnowledge Distillation	CodeCode Available	1
Predictive Accuracy-Based Active Learning for Medical Image Segmentation	May 1, 2024	Active LearningDiversity	CodeCode Available	0
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation	May 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation	May 1, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention	Apr 30, 2024	Computational EfficiencyImage Segmentation	CodeCode Available	1
SpecstatOR: Speckle statistics-based iOCT Segmentation Network for Ophthalmic Surgery	Apr 30, 2024	Image SegmentationSegmentation	—Unverified	0
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging	Apr 30, 2024	BenchmarkingImage Reconstruction	CodeCode Available	1
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models	Apr 29, 2024	DecoderDenoising	—Unverified	0

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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