most citedTPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

123 citations · 123 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 123 cited

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

Xingkui Zhu, Shuchang Lyu, Xu Wang +1

Object detection on drone-captured scenarios is a recent popular task. As drones always navigate in different altitudes, the object scale varies violently, which burdens the optimi…