SOTAVerified

Segmentation

Papers

Showing 21012125 of 13072 papers

TitleStatusHype
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and ParsingCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Dense Gaussian Processes for Few-Shot SegmentationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 ChallengeCode1
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class BoundariesCode1
Clustering Plotted Data by Image SegmentationCode1
Transfer Learning U-Net Deep Learning for Lung Ultrasound SegmentationCode1
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
Double Encoder-Decoder Networks for Gastrointestinal Polyp SegmentationCode1
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video EnhancementCode1
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance SegmentationCode1
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root SegmentationCode1
Training on Polar Image Transformations Improves Biomedical Image SegmentationCode1
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical VideoCode1
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion ModelingCode1
Semantic Segmentation-assisted Scene Completion for LiDAR Point CloudsCode1
Learning to Downsample for Segmentation of Ultra-High Resolution ImagesCode1
CondNet: Conditional Classifier for Scene SegmentationCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided FlowCode1
Efficient Urban-scale Point Clouds Segmentation with BEV ProjectionCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified