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

Showing 30263050 of 5035 papers

TitleStatusHype
Segmentation of 2D Brain MR ImagesCode1
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder0
FBNet: Feature Balance Network for Urban-Scene Segmentation0
Attention on Classification for Fire Segmentation0
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
Partial supervision for the FeTA challenge 2021Code1
Learned Image Compression for Machine Perception0
3-D PET Image Generation with tumour masks using TGANCode0
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation0
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance PropagationCode0
MedAI: Transparency in Medical Image SegmentationCode0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy0
Geodesic Models with Convexity Shape Prior0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster0
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentationCode0
Focal Attention Networks: optimising attention for biomedical image segmentation0
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation0
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image SegmentationCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation0
Unsupervised Foreground Extraction via Deep Region CompetitionCode1
Approximate Decomposable Submodular Function Minimization for Cardinality-Based ComponentsCode0
Localized Super Resolution for Foreground Images using U-Net and MR-CNNCode0
PL-Net: Progressive Learning Network for Medical Image Segmentation0
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Benchmark Results

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