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 4426–4450 of 5035 papers

Title	Date	Tasks	Status
Interactive Image Segmentation using Label Propagation through Complex Networks	Jan 9, 2019	Image SegmentationInteractive Segmentation	—Unverified
Interactive Image Segmentation via Backpropagating Refinement Scheme	Jun 1, 2019	Image SegmentationInteractive Segmentation	—Unverified
Interactive Image Selection and Training for Brain Tumor Segmentation Network	Jun 5, 2024	Brain Tumor SegmentationDiversity	—Unverified
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning	Oct 11, 2017	Image SegmentationInteractive Segmentation	—Unverified
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration	Nov 15, 2021	Image SegmentationInteractive Segmentation	—Unverified
Interactive segmentation of medical images through fully convolutional neural networks	Mar 19, 2019	Computed Tomography (CT)Diagnostic	—Unverified
Interactive Segmentation on RGBD Images via Cue Selection	Jun 1, 2016	Image RetrievalImage Segmentation	—Unverified
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces	Oct 25, 2021	Image SegmentationInteractive Segmentation	—Unverified
Interactive Video Object Segmentation in the Wild	Dec 31, 2017	Image SegmentationInteractive Video Object Segmentation	—Unverified
Interior point search for nonparametric image segmentation	Jun 11, 2021	Boundary DetectionImage Segmentation	—Unverified
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation	Apr 13, 2021	Active LearningGeneral Classification	—Unverified
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images	Nov 11, 2020	Computed Tomography (CT)Image Segmentation	—Unverified
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model	Jun 25, 2023	Image SegmentationSegmentation	—Unverified
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks	Oct 20, 2023	DecoderImage Segmentation	—Unverified
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy	Jan 31, 2020	Data AugmentationImage Augmentation	—Unverified
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation	Jan 30, 2025	Image SegmentationInstance Segmentation	—Unverified
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation	Jun 25, 2023	Deep LearningImage Segmentation	—Unverified
Introducing Geometry in Active Learning for Image Segmentation	Aug 20, 2015	Active LearningImage Segmentation	—Unverified
Introducing Hann windows for reducing edge-effects in patch-based image segmentation	Oct 17, 2019	Image SegmentationSemantic Segmentation	—Unverified
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation	Sep 12, 2023	AnatomyAnomaly Detection	—Unverified
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset	Jul 12, 2024	Autonomous NavigationImage Segmentation	—Unverified
Introduction to Camera Pose Estimation with Deep Learning	Jul 8, 2019	Camera Pose EstimationDeep Learning	—Unverified
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation	May 5, 2022	Domain GeneralizationImage Segmentation	—Unverified
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation	Jan 11, 2023	Image SegmentationSegmentation	—Unverified
Inverse Renormalization Group Transformation in Bayesian Image Segmentations	Jan 5, 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