Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency

Author:

Tao Runzhou1,Han Wencheng2,Qiu Zhongying3,Xu Cheng-Zhong2,Shen Jianbing2

Affiliation:

1. Beijing Institute of Technology

2. SKL-IOTSC, CIS, University of Macau

3. QCraft

Funder

FDCT

Publisher

IEEE

Reference65 articles.

1. Monocular 3d object detection and box fitting trained end-to-end using intersection-over-union loss;jörgensen;ArXiv Preprint,2019

2. Proposal-contrast: Unsupervised pre-training for lidar-based 3d object detection;yin;Computer Vision–ECCV 2022 17th European Conference,2022

3. Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time

4. LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention

5. Monocular 3d object detection leveraging accurate proposals and shape reconstruction;jason;IEEE Conf Computer Vision and Pattern Recognition,0

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