arXiv (Cornell University)· 2020· Preprint
YOLOv4: Optimal Speed and Accuracy of Object Detection
- 10,457citations
- 2020year
Short summary
YOLOv4 achieves 43.5% AP (65.7% AP50) on the MS COCO dataset at 65 FPS using a Tesla V100, by integrating novel features like Weighted-Residual-Connections (WRC), Cross-Stage-Partial-connections (CSP), and Mish activation.
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Sign in on the web to openField: Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science