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 3551–3560 of 5035 papers

Title	Date	Tasks	Status
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition	Mar 16, 2017	Image SegmentationSemantic Segmentation	—Unverified
Flexibly Regularized Mixture Models and Application to Image Segmentation	May 25, 2019	ClusteringImage Segmentation	—Unverified
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling	Mar 14, 2018	Image SegmentationScene Labeling	—Unverified
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion	Jun 1, 2018	Data AugmentationImage Segmentation	—Unverified
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation	May 4, 2021	Image SegmentationSegmentation	—Unverified
Multiset Neurons	Nov 13, 2021	Image SegmentationSemantic Segmentation	—Unverified
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images	Jun 21, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation	Jun 5, 2024	BenchmarkingImage Segmentation	—Unverified
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans	Jan 19, 2021	Computed Tomography (CT)Deep Learning	—Unverified
Comparing the Performance of LAB* and HSV Color Spaces with Respect to Color Image Segmentation	Jun 4, 2015	Image SegmentationSegmentation	—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