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SOTA
Monocular 3D Object Detection
Monocular 3D Object Detection On Kitti Cars
Monocular 3D Object Detection On Kitti Cars
評価指標
AP Medium
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
AP Medium
Paper Title
Repository
DD3D
16.34
Is Pseudo-Lidar needed for Monocular 3D Object detection?
MonoDGP
18.72
MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
MonoUNI
16.73
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues
CIE
20.95
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection
-
MonoEF
13.87
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
-
M3D-RPN
9.71
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
GrooMeD-NMS
12.32
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
MonoGeo
13.81
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
MonoPair
9.99
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Pseudo-Stereo
-
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
MonoRUn
12.30
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
IAFA
12.01
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image
-
Kinematic3D
12.72
Kinematic 3D Object Detection in Monocular Video
CubifAE-3D
7.94
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection
-
D4LCN
11.72
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
MonoDLE
12.26
Delving into Localization Errors for Monocular 3D Object Detection
GS3D
2.9
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
-
MonoFLEX
13.89
Objects are Different: Flexible Monocular 3D Object Detection
DDMP-3D
12.78
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
PGD
11.76
Probabilistic and Geometric Depth: Detecting Objects in Perspective
0 of 29 row(s) selected.
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