SOTAVerified

Segmentation

Papers

Showing 271280 of 13072 papers

TitleStatusHype
Better Call SAL: Towards Learning to Segment Anything in LidarCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
PosSAM: Panoptic Open-vocabulary Segment AnythingCode2
Caltech Aerial RGB-Thermal Dataset in the WildCode2
Open-World Semantic Segmentation Including Class SimilarityCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
Rethinking Few-shot 3D Point Cloud Semantic SegmentationCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
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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