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 901925 of 5035 papers

TitleStatusHype
Partial supervision for the FeTA challenge 2021Code1
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
Unsupervised Foreground Extraction via Deep Region CompetitionCode1
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image SegmentationCode1
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited LabelsCode1
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image SegmentationCode1
Continuous Conditional Random Field Convolution for Point Cloud SegmentationCode1
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive TrainingCode1
Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANSCode1
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly AnnotationCode1
Clustering Plotted Data by Image SegmentationCode1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 ChallengeCode1
Transfer Learning U-Net Deep Learning for Lung Ultrasound SegmentationCode1
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
Bounding Box Tightness Prior for Weakly Supervised Image SegmentationCode1
Training on Polar Image Transformations Improves Biomedical Image SegmentationCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
Segmentation with mixed supervision: Confidence maximization helps knowledge distillationCode1
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided FlowCode1
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-LabelingCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
MISSFormer: An Effective Medical Image Segmentation TransformerCode1
Semi-supervised Contrastive Learning for Label-efficient Medical Image SegmentationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerCode1
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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