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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 81–90 of 187 papers

TitleStatusHype
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
Aerial Monocular 3D Object DetectionCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
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