Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer

arXiv:2403.01736v1 Announce Type: new
Abstract: As mobile computing technology rapidly evolves, deploying efficient object detection algorithms on mobile devices emerges as a pivotal research area in computer vision. This study zeroes in on optimizing the YOLOv7 algorithm to boost its operational efficiency and speed on mobile platforms while ensuring high accuracy. Leveraging a synergy of advanced techniques such as Group Convolution, ShuffleNetV2, and Vision Transformer, this research has effectively minimized the model's parameter count and memory usage, streamlined the network …

abstract algorithm algorithms arxiv boost computer computer vision computing cs.cv detection devices efficiency mobile mobile computing mobile devices pivotal research speed study technology transformer type vision yolov7