【論文閱讀筆記】You Only Look Once: Unified，Real-Time Object Dection
論文鏈接：https://arxiv.org/abs/1506.02640 作者：Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi 發佈時間：2015年1月發佈，2016年5月月最後修改 前言 YOLO之所以比 RNN系列要快，是因爲其不通過選擇區域，而是將圖片分割成 S∗S S ∗ S 大小的網格，在每個網格里直接預測 B
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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. 論文閱讀筆記：You Only Look Once: Unified, Real-Time Object Detection
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