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SOTA
3D Object Detection From Monocular Images
3D Object Detection From Monocular Images On 7
3D Object Detection From Monocular Images On 7
评估指标
AP25
AP50
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AP25
AP50
Paper Title
Repository
MonoDETR
27.13
0.79
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
MonoDLE
28.99
0.85
Delving into Localization Errors for Monocular 3D Object Detection
VoteNet
30.61
3.40
Deep Hough Voting for 3D Object Detection in Point Clouds
SeaBird + Image2Maps
35.04
3.14
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
MonoDTR
39.76
3.02
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
SeaBird + PanopticBEV
37.12
4.64
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Cube R-CNN
15.57
0.80
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
GrooMeD-NMS
16.12
0.17
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
BoxNet
23.59
4.08
Deep Hough Voting for 3D Object Detection in Point Clouds
GUPNet
27.25
0.87
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
DEVIANT
26.96
0.88
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
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