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 776800 of 5035 papers

TitleStatusHype
The Dice loss in the context of missing or empty labels: Introducing Φ and εCode1
A hierarchical semantic segmentation framework for computer vision-based bridge damage detectionCode1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
Personalizing Federated Medical Image Segmentation via Local CalibrationCode1
TFCNs: A CNN-Transformer Hybrid Network for Medical Image SegmentationCode1
Unsupervised Domain Adaptation through Shape Modeling for Medical Image SegmentationCode1
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image SegmentationCode1
vMFNet: Compositionality Meets Domain-generalised SegmentationCode1
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningCode1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationCode1
RankSEG: A Consistent Ranking-based Framework for SegmentationCode1
Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image SegmentationCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA ImagesCode1
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy LabelsCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Fitting Segmentation Networks on Varying Image Resolutions using SplattingCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationCode1
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNetCode1
The Fully Convolutional Transformer for Medical Image SegmentationCode1
SemAffiNet: Semantic-Affine Transformation for Point Cloud SegmentationCode1
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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