Search Results for author:
Found 2 papers, 0 papers with code
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion
In this paper, we find that the challenge of using sparse supervision for training Radar-Camera depth prediction models is the Projection Transformation Collapse (PTC).
Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification
Finally, the distance between vehicle appearances is presented by the discriminative region features and multi-view features together.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
