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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 121–130 of 187 papers

TitleStatusHype
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection—0
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection—0
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
Aerial Monocular 3D Object DetectionCode0
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes—0
Delving into the Pre-training Paradigm of Monocular 3D Object Detection—0
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