《You Only Look Once:Unified,Real-Time Object Detection》筆記
簡介 將輸入image分割成S*S個（論文中S=7）grid cell，如果object的center落在某個grid cell中，那麼這個cell就負責detect該object，即負責預測該object的bbox（bounding box）。 每個cell都預測B個（B=2）bbox（x,y,w,h）以及相應的confidence， confidence=P(object)∗IOU 若obje
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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. YOLO(You Only Look Once):Real-Time Object Detection
- 5. YOLOv1：You Only Look Once: Unified, Real-Time Object Detection
- 6. You Only Look Once: Unified, Real-Time Object Detection閱讀筆記
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- 8. YOLOv1(You Only Look Once: Unified, Real-Time Object Detection)閱讀筆記
- 9. 論文筆記：You Only Look Once: Unified, Real-Time Object Detection
- 10. RCNN學習筆記（5）-You Only Look Once: Unified, Real-Time Object Detection