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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 111–120 of 187 papers

TitleStatusHype
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection—0
Delving into the Pre-training Paradigm of Monocular 3D Object Detection—0
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
Digging Into Output Representation for Monocular 3D Object Detection—0
Dimension Embeddings for Monocular 3D Object Detection—0
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras—0
Disentangling Monocular 3D Object Detection—0
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