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Monocular 3D Object Detection

Monocular 3D Object Detection is the task to draw 3D bounding box around objects in a single 2D RGB image. It is localization task but without any extra information like depth or other sensors or multiple-images.

Papers

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Showing 71–80 of 187 papers

TitleStatusHype
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Probabilistic and Geometric Depth: Detecting Objects in PerspectiveCode0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object DetectionCode0
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
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