Abstract: 3D object detection in driving scenarios is particularly challenging due to factors such as sensor noise, occlusions, and the inherent sparsity of LiDAR point clouds, which can lead to the ...
3,800 workers strike at one of the largest meatpacking plants in the US Nancy Guthrie update: Ex-FBI agent details good news and the bad news Michigan homes in ruins after deadly tornado outbreak ...
Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.
TRI-ML / dd3d Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results