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Rich feature hierarchies for accurate object detection and semantic segmentation (RCNN)筆記
時間 2020-12-24
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RCNN系列對比圖,來源 1、本文主要是記錄RCNN。論文相對於以前的傳統方法的改進有: 速度,經典的目標檢測算法使用滑動窗口依次判斷所有可能的區域。本文則(採用selective Search方法)預先提取一系列較可能是物體的候選區域,之後僅僅在這些候選區域上進行feature extraction,進行判斷。 訓練集,經典的目標檢測算法在區域中提取人工設定的特徵。本文則採用深度網絡進行特徵提取
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相關文章
1.
Rich feature hierarchies for accurate object detection and semantic segmentation
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