【論文閱讀筆記】Yolov4：Optimal Speed and Accuracy of Object Detection
論文地址：YOLOv4 論文總結 yolov4並沒提出什麼創新性的東西，論文中更多的是將當前目標檢測各方向的方法進行了個匯合，比如數據增強、網絡結構等。經過試驗後，作者選出一組其認爲適用的方法組合，通過結合各種tricks得到的特徵得到一個好結果。其目標是一個能較高效率應用於GPU上的網絡，而不是一些參數，比如BFLOPs。 方法介紹 Bag of freebies Bag of free
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相關文章
- 1. 【論文閱讀】YOLOv4: Optimal Speed and Accuracy of Object Detection
- 2. 論文閱讀：YOLOv4: Optimal Speed and Accuracy of Object Detection
- 3. YOLOv4: Optimal Speed and Accuracy of Object Detection-論文閱讀（2）
- 4. [論文閱讀]YOLOv4: Optimal Speed and Accuracy of Object Detection
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- 6. YOLOv4: Optimal Speed and Accuracy of Object Detection 論文筆記
- 7. 《YOLOv4：Optimal Speed and Accuracy of Object Detection》論文筆記
- 8. 論文筆記：YOLOv4: Optimal Speed and Accuracy of Object Detection
- 9. YOLOv4: Optimal Speed and Accuracy of Object Detection
- 10. (2020.04) Review: YOLOv4: Optimal Speed and Accuracy of Object Detection