(43)[CVPR16] YOLO(You Only Look Once): Unified, Real-Time Object Detection
計劃完成深度學習入門的126篇論文第四十三篇，微軟的Ross Girshick及UW的學者研究Obeject Detection的模型。（本篇算是YOLO v1，截止目前出到了v3版本）[官網] Abstract 咱們提出了一種新的目標檢測方法YOLO。先前關於對象檢測的工做從新定義分類器來執行檢測。相反，咱們將對象檢測框架爲一個迴歸問題，迴歸到空間分隔的邊界框和相關的類機率。在一次評估中，單個神
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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: Unified, Real-Time Object Detection （YOLO 論文翻譯）
- 6. YoLo： You Only Look Once: Unified, Real-Time Object Detection譯文
- 7. You Only Look Once: Unified, Real-Time Object Detection閱讀筆記
- 8. 論文閱讀筆記：You Only Look Once: Unified, Real-Time Object Detection(YOLO)
- 9. YOLOv1(You Only Look Once: Unified, Real-Time Object Detection)閱讀筆記
- 10. 論文筆記：You Only Look Once: Unified, Real-Time Object Detection