Bridging 2D and 3D Object Detection: Advances in Occlusion Handling through Depth Estimation

Abstract

Object detection in occluded environments remains a core challenge in computer vision (CV), especially in domains such as autonomous driving and robotics. While Convolutional Neural Network (CNN)-based two-dimensional (2D) an... | Find, read and cite all the research you need on Tech Science Press