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 901950 of 5035 papers

TitleStatusHype
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
Partial supervision for the FeTA challenge 2021Code1
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
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
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive TrainingCode1
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
nnFormer: Interleaved Transformer for Volumetric SegmentationCode1
Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local EnhancementCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic SegmentationCode1
Single-Image Specular Highlight Removal via Real-World Dataset ConstructionCode1
Mining Contextual Information Beyond Image for Semantic SegmentationCode1
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time TrainingCode1
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution ShiftsCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
Efficient Medical Image Segmentation Based on Knowledge DistillationCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
spectrai: A deep learning framework for spectral dataCode1
Towards to Robust and Generalized Medical Image Segmentation FrameworkCode1
Enhancing MR Image Segmentation with Realistic Adversarial Data AugmentationCode1
Source-Free Domain Adaptation for Image SegmentationCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Region-wise Loss for Biomedical Image SegmentationCode1
Recurrent Mask Refinement for Few-Shot Medical Image SegmentationCode1
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labelsCode1
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image SegmentationCode1
Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIPCode1
Personalized Image Semantic SegmentationCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image 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