YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5

arXiv:2402.14309v1 Announce Type: new
Abstract: Object detection, a crucial aspect of computer vision, has seen significant advancements in accuracy and robustness. Despite these advancements, practical applications still face notable challenges, primarily the inaccurate detection or missed detection of small objects. In this paper, we propose YOLO-TLA, an advanced object detection model building on YOLOv5. We first introduce an additional detection layer for small objects in the neck network pyramid architecture, thereby producing a feature map of a larger scale to …

abstract accuracy advanced applications arxiv challenges computer computer vision cs.cv detection face objects paper practical robustness small type vision yolo yolov5