SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2351–2400 of 5035 papers

TitleStatusHype
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Efficient Bayesian Uncertainty Estimation for nnU-Net—0
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure SegmentationCode1
UNet Based Pipeline for Lung Segmentation from Chest X-Ray Images—0
Deep Incubation: Training Large Models by Divide-and-ConqueringCode2
UNETR++: Delving into Efficient and Accurate 3D Medical Image SegmentationCode2
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
A segmentation method of airway from chest CT image based on Vgg-Unet neural networkCode0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
Quantification of geogrid lateral restraint using transparent sand and deep learning-based image segmentation—0
Supervised Image Segmentation for High Dynamic Range Imaging—0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions—0
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation—0
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple ratersCode0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
Extracting Semantic Knowledge from GANs with Unsupervised Learning—0
Neuro-Symbolic Spatio-Temporal Reasoning—0
Efficient Mirror Detection via Multi-level Heterogeneous LearningCode1
Topologically faithful image segmentation via induced matching of persistence barcodesCode1
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation—0
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Medical Image Segmentation Review: The success of U-NetCode2
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image SegmentationCode1
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images—0
Deep Learning Training Procedure Augmentations—0
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background SegmentationCode0
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR imagesCode0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model—0
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft—0
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers—0
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
Mean Shift Mask Transformer for Unseen Object Instance SegmentationCode1
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation—0
DeepVoxNet2: Yet another CNN frameworkCode1
Convolutional neural networks for medical image segmentation—0
Robust Online Video Instance Segmentation with Track QueriesCode0
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation—0
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite ImageryCode0
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation—0
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning—0
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation—0
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation—0
Feedback Chain Network For Hippocampus Segmentation—0
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
Learning from partially labeled data for multi-organ and tumor segmentationCode1
A Comprehensive Survey of Transformers for Computer Vision—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified