論文筆記：You Only Look Once: Unified, Real-Time Object Detection
論文筆記：You Only Look Once: Unified, Real-Time Object Detection 簡述 這是YOLO算法的第一個版本。 作者先簡單介紹了之前對目標識別的相關算法，比如利用滑動窗口的算法，還有R-CNN算法。 但是作者說，這兩種方法都太慢，並且難以優化。 作者認爲YOLO算法十分簡單，將目標檢測問題處理成迴歸問題，用一個卷積神經網絡結構就可以從輸入圖像直接預測
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相關文章
- 1. 論文閱讀筆記：You Only Look Once: Unified, Real-Time Object Detection(YOLO)
- 2. You Only Look Once: Unified, Real-Time Object Detection（YOLOv1）論文學習筆記
- 3. You Only Look Once: Unified, Real-Time Object Detection 論文筆記
- 4. 論文閱讀筆記：You Only Look Once: Unified, Real-Time Object Detection
- 5. YOLOv1(You Only Look Once: Unified, Real-Time Object Detection)論文筆記
- 6. 《You Only Look Once: Unified, Real-Time Object Detection》論文筆記
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- 9. 【YOLOv1】《You Only Look Once: Unified, Real-Time Object Detection》
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