SOTAVerified

Segmentation

Papers

Showing 401425 of 13072 papers

TitleStatusHype
Delivering Arbitrary-Modal Semantic SegmentationCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT imagesCode2
Recent Advances in Medical Imaging Segmentation: A SurveyCode2
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationCode2
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
DetailCLIP: Detail-Oriented CLIP for Fine-Grained TasksCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse PromptsCode2
Rethinking Semantic Segmentation: A Prototype ViewCode2
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical ImagesCode2
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
DeepGCNs: Making GCNs Go as Deep as CNNsCode2
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
DDP: Diffusion Model for Dense Visual PredictionCode2
Deep Hierarchical Semantic SegmentationCode2
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic SegmentationCode2
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic SegmentationCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
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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