You Only Look Once: Unified, Real-Time Object Detection
首先談談爲什麼這個算法叫做yolo吧。在R-CNN出現之前目標檢測算法多是採取滑窗法(sliding windows)，在圖像上進行滑窗操作，然後對每一個滑窗結果進行分類。後來在R-CNN中採用的提取窗口的方法改爲了selective search等利用圖像過分割和聚類的方法來提取這些窗口(proposals)了，SPP-net將proposals映射到feature maps，對提取pr
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相關文章
- 1. You Only Look Once: Unified, Real-Time Object Detection
- 2. You Only Look Once Unified, Real-Time Object Detection
- 3. 【YOLOv1】《You Only Look Once: Unified, Real-Time Object Detection》
- 4. YOLOv1：You Only Look Once: Unified, Real-Time Object Detection
- 5. you only look once
- 6. You Only Look Once: Unified, Real-Time Object Detection （YOLO 論文翻譯）
- 7. YoLo： You Only Look Once: Unified, Real-Time Object Detection譯文
- 8. You Only Look Once: Unified, Real-Time Object Detection閱讀筆記
- 9. YOLO(You Only Look Once):Real-Time Object Detection
- 10. 論文閱讀筆記：You Only Look Once: Unified, Real-Time Object Detection(YOLO)