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 321–330 of 5035 papers

Title	Date	Tasks	Status	Hype
Vision Foundation Models in Medical Image Analysis: Advances and Challenges	Feb 20, 2025	Domain AdaptationFederated Learning	—Unverified	0
MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation	Feb 19, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification	Feb 18, 2025	Hyperspectral Image Classificationimage-classification	CodeCode Available	0
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation	Feb 17, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1
WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing	Feb 17, 2025	Anomaly DetectionImage Segmentation	—Unverified	0
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation	Feb 15, 2025	Computational EfficiencyDomain Adaptation	—Unverified	0
Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset	Feb 15, 2025	Image SegmentationSegmentation	CodeCode Available	0
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images	Feb 14, 2025	DecoderImage Segmentation	CodeCode Available	1
Instance Segmentation of Scene Sketches Using Natural Image Priors	Feb 13, 2025	Image SegmentationInstance Segmentation	—Unverified	0
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation	Feb 12, 2025	Computational EfficiencyImage Segmentation	CodeCode Available	1

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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