SOTAVerified

Segmentation

Papers

Showing 30513075 of 13072 papers

TitleStatusHype
MortonNet: Self-Supervised Learning of Local Features in 3D Point CloudsCode0
Morphology Matters: A Multilingual Language Modeling AnalysisCode0
More complex encoder is not all you needCode0
Bootstrapping the Performance of Webly Supervised Semantic SegmentationCode0
Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT ImagesCode0
Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource LanguagesCode0
Adaptive Temporal Encoding Network for Video Instance-level Human ParsingCode0
Morphological Segmentation for SenecaCode0
Boosting Semantic Segmentation with Semantic BoundariesCode0
Modular StoryGAN with Background and Theme Awareness for Story VisualizationCode0
Boosting Semantic Segmentation from the Perspective of Explicit Class EmbeddingsCode0
Modular Sensor Fusion for Semantic SegmentationCode0
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsCode0
Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB ImagesCode0
Model Doctor for Diagnosing and Treating Segmentation ErrorCode0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
Model Guidance via Explanations Turns Image Classifiers into Segmentation ModelsCode0
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma SegmentationCode0
Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual LearningCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous LabelsCode0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
MLV^2-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel SegmentationCode0
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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