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3D Object Detection From Monocular Images On 7

Metrics

AP25
AP50

Results

Performance results of various models on this benchmark

Model Name
AP25
AP50
Paper TitleRepository
MonoDETR27.130.79MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
MonoDLE28.990.85Delving into Localization Errors for Monocular 3D Object Detection
VoteNet30.613.40Deep Hough Voting for 3D Object Detection in Point Clouds
SeaBird + Image2Maps35.043.14SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
MonoDTR39.763.02MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
SeaBird + PanopticBEV37.124.64SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Cube R-CNN15.570.80Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
GrooMeD-NMS16.120.17GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
BoxNet23.594.08Deep Hough Voting for 3D Object Detection in Point Clouds
GUPNet27.250.87Geometry Uncertainty Projection Network for Monocular 3D Object Detection
DEVIANT26.960.88DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
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