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

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Showing 4111–4120 of 5035 papers

Title	Date	Tasks	Status
PCCA-Model: an attention module for medical image segmentation	Apr 1, 2023	Image SegmentationMedical Image Segmentation	—Unverified
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data	Aug 18, 2020	Image SegmentationSegmentation	—Unverified
Peekaboo - Where are the Objects? Structure Adjusting Superpixels	Feb 8, 2018	ClusteringImage Segmentation	—Unverified
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation	Aug 26, 2023	Image SegmentationMedical Image Segmentation	—Unverified
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation	Apr 21, 2024	Computed Tomography (CT)Image Segmentation	—Unverified
Penalizing small errors using an Adaptive Logarithmic Loss	Oct 22, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan	Apr 5, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Performance Analysis of UNet and Variants for Medical Image Segmentation	Sep 22, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation	Aug 7, 2024	Adversarial RobustnessImage Segmentation	—Unverified
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg	Apr 22, 2025	Image SegmentationMedical Image 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