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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 176–187 of 187 papers

TitleStatusHype
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction SitesCode0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
Aerial Monocular 3D Object DetectionCode0
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
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