YOLOV1_《You Only Look Once: Unfied,Real-Time Object Detection》論文概讀
YOLO概述 YoLo與傳統檢測算法相比較有以下幾個優點： YoLo運行特別快； YoLo是對整幅圖像進行預測的，背景錯誤比較少； YoLo可以學到目標的廣義特徵，泛化性比較強； 具體的實現過程 把輸入圖像分爲s*s個grids，如果一個目標的中心在一個grid單元中，這個grid單元就表示識別該目標。每個grid預測B個目標框和每個目標框的confiden
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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. 【論文閱讀】YOLOv1-You Only Look Once: Unified, Real-Time Object Detection Joseph
- 3. 論文閱讀筆記：You Only Look Once: Unified, Real-Time Object Detection
- 4. You Only Look Once: Unified, Real-Time Object Detection 論文詳讀
- 5. 【論文閱讀】You Only Look Once: Unified, Real-Time Object Detection
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