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 2551–2560 of 5035 papers

Title	Date	Tasks	Status
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities	Jul 26, 2023	Active LearningDiversity	CodeCode Available
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization	Jul 26, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Deepfake Image Generation for Improved Brain Tumor Segmentation	Jul 26, 2023	Brain Tumor SegmentationFace Swapping	—Unverified
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation	Jul 25, 2023	Data AugmentationImage Segmentation	—Unverified
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation	Jul 24, 2023	Domain AdaptationImage Segmentation	—Unverified
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment	Jul 24, 2023	Image SegmentationMedical Image Segmentation	—Unverified
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings	Jul 23, 2023	3D Shape ReconstructionImage Segmentation	CodeCode Available
Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model	Jul 22, 2023	Image SegmentationSemantic Segmentation	—Unverified
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation	Jul 21, 2023	DiagnosticImage Segmentation	—Unverified
Confidence Intervals for Performance Estimates in Brain MRI Segmentation	Jul 20, 2023	Brain Tumor SegmentationHippocampus	—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