RBF Weighted Hyper-Involution for RGB-D Object Detection

ArXi:2310.00342v2 Announce Type: replace A vast majority of augmented reality devices come equipped with depth and color cameras. Despite their advantages, extracting both photometric and depth features simultaneously in real-time remains challenging due to inherent differences between depth and color images. Furthermore, standard convolution operations are insufficient for extracting information directly from raw depth images, leading to inefficient intermediate representations. To address these issues, we propose a real-time two-stream RGBD object detection model. Our model