RCNN(Regions with Convolutional Neural Network Feature)
背景知識 在目標檢測評價中,有一個參數定位準確率,即IOU,IOU計算公式如下: 簡單來說,IOU就是模型預測的bounding box與標記bounding box的重合率. 通常我們預測的bounding box是無法與標記bounding box完全重合的,例如下面幾種情況: 因此可以通過求兩個bounding box的重合率即IOU,並設定一個閾值t0,並認爲IOU值大於t0的候選框爲
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相關文章
- 1. 《ImageNet Classification with Deep Convolutional Neural Network》
- 2. Convolutional Neural Network - Object Detection
- 3. NR-SIQA Using Convolutional Neural Network for Adaptive Feature Extraction
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- 9. 【UFLDL】Exercise: Convolutional Neural Network
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