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 281–290 of 5035 papers

Title	Date	Tasks	Status	Hype
A Label-Free High-Precision Residual Moveout Picking Method for Travel Time Tomography based on Deep Learning	Mar 8, 2025	Image SegmentationSegmentation	—Unverified	0
Conformal Prediction for Image Segmentation Using Morphological Prediction Sets	Mar 7, 2025	Conformal PredictionImage Segmentation	CodeCode Available	0
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation	Mar 7, 2025	Data AugmentationImage Segmentation	CodeCode Available	0
S4M: Segment Anything with 4 Extreme Points	Mar 7, 2025	Image SegmentationInstance Segmentation	—Unverified	0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation	Mar 7, 2025	Image SegmentationMedical Image Analysis	—Unverified	0
We Care Each Pixel: Calibrating on Medical Segmentation Model	Mar 7, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation	Mar 7, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation	Mar 6, 2025	Active LearningImage Segmentation	—Unverified	0
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining	Mar 6, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data	Mar 6, 2025	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 29 of 504Next →

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