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 951975 of 5035 papers

TitleStatusHype
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image SegmentationCode1
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image SegmentationCode1
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image SegmentationCode1
UTNet: A Hybrid Transformer Architecture for Medical Image SegmentationCode1
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image SegmentationCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
SinGAN-Seg: Synthetic training data generation for medical image segmentationCode1
Multi-Compound Transformer for Accurate Biomedical Image SegmentationCode1
K-Net: Towards Unified Image SegmentationCode1
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image SegmentationCode1
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image SegmentationCode1
Quality-Aware Memory Network for Interactive Volumetric Image SegmentationCode1
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement ModelingCode1
Polygonal Building Extraction by Frame Field LearningCode1
Medical Matting: A New Perspective on Medical Segmentation with UncertaintyCode1
How to train your ViT? Data, Augmentation, and Regularization in Vision TransformersCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
Part-aware Panoptic SegmentationCode1
The Medical Segmentation DecathlonCode1
nnDetection: A Self-configuring Method for Medical Object DetectionCode1
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsCode1
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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