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SpineNet: Learning scale-permuted backbone for recog- nition and localization

Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V Le, Xiaodan Song · 1912 · arXiv 1912.05027

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YOLOv4: Optimal Speed and Accuracy of Object Detection

cs.CV · 2020-04-23 · unverdicted · novelty 5.0

YOLOv4 achieves 43.5% AP (65.7% AP50) on MS COCO at ~65 FPS on Tesla V100 by integrating WRC, CSP, CmBN, SAT, Mish activation, Mosaic augmentation, DropBlock, and CIoU loss.

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  • YOLOv4: Optimal Speed and Accuracy of Object Detection cs.CV · 2020-04-23 · unverdicted · none · ref 12

    YOLOv4 achieves 43.5% AP (65.7% AP50) on MS COCO at ~65 FPS on Tesla V100 by integrating WRC, CSP, CmBN, SAT, Mish activation, Mosaic augmentation, DropBlock, and CIoU loss.