Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
一、論文前期知識、成果及意義 1.前期知識 什麼是目標檢測？ 找出圖像中所有感興趣的目標（ROI—Region of Interest）,確定它們的位置和大小以及類別。是計算機視覺領域的核心問題之一。 分類-Classification: 解決"是什麼? "的問題,即給定一張圖片或一段視頻判斷裏面包含什麼類別的目標。 定位-Location: 解決"在哪裏?"的問題,即定位出這個目標的的位置。 檢
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相關文章
- 1. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
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- 3. 論文筆記：Rich feature hierarchies for accurate object detection and semantic segmentation
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