most citedYOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

849 citations · 849 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 849 cited

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object det…