Tag 3D object detection
In the ever-evolving landscape of computer vision, the DSSD (Deconvolutional Single Shot Detector) approach has emerged as a game-changer, offering a novel method to enhance object detection accuracy. Developed by Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, and Alexander… Continue Reading →
In the rapidly evolving field of computer vision, accurately detecting and estimating the pose of 3D objects from a single 2D image has been a persistent challenge. Advances in deep learning and geometric principles, such as those introduced by Arsalan… Continue Reading →