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【目標檢測】R-CNN論文詳解(Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation)...
時間 2020-12-30
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image 該文是目標檢測領域的里程碑論文,是fast-rcnn、faster-rcnn等系列的基礎。它首次用深度學習CNN的方式進行目標檢測的嘗試。取得了性能、準確度均大幅高於傳統提取特徵方式的結果。 一.算法模塊 1.Region Proposals區域推薦 在目標檢測時,爲了定位到目標的具體位置,通常會把圖像分成許多子塊,然後把子塊作爲輸入,送到目標識別的模型中。分子塊的最直接方法叫滑動窗口
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【目標檢測】RCNN (Rich feature hierarchies for accurate object detection and semantic segmentation)
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