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 2351–2360 of 5035 papers

Title	Date	Tasks	Status
Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning	Nov 12, 2023	Image SegmentationSelf-Supervised Learning	—Unverified
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image	Nov 11, 2023	Image SegmentationSegmentation	—Unverified
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images	Nov 10, 2023	Image SegmentationMedical Image Segmentation	—Unverified
IODeep: an IOD for the introduction of deep learning in the DICOM standard	Nov 10, 2023	DiagnosticFederated Learning	CodeCode Available
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks	Nov 10, 2023	Data AugmentationImage Segmentation	—Unverified
Efficient Segmentation with Texture in Ore Images Based on Box-supervised Approach	Nov 10, 2023	Image SegmentationSemantic Segmentation	CodeCode Available
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation	Nov 10, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers	Nov 10, 2023	DecoderImage Segmentation	CodeCode Available
Single-shot Tomography of Discrete Dynamic Objects	Nov 9, 2023	Computed Tomography (CT)Dynamic Reconstruction	CodeCode Available
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model	Nov 9, 2023	Image Segmentationmodel	—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