【RCNN】《Rich feature hierarchies for accurate object detection and semantic segmentation 》
2014 CVPR 之前剛開始接觸目標檢測算法的時候，老是分不清deep learning中，物體檢測和圖片分類算法上的區別，弄得我頭好暈，終於在這篇paper上，看到了解釋。物體檢測和圖片分類的區別：圖片分類不需要定位，而物體檢測需要定位出物體的位置，也就是相當於把物體的bbox檢測出來，還有一點物體檢測是要把所有圖片中的物體都識別定位出來。 目錄 目錄 1 Motivation 2 Inn
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相關文章
- 1. Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. RCNN學習筆記(1):Rich feature hierarchies for accurate object detection and semantic segmentation
- 3. [RCNN]Rich feature hierarchies for accurate object detection and semantic segmentation
- 4. 【目標檢測】RCNN (Rich feature hierarchies for accurate object detection and semantic segmentation)
- 5. Rich feature hierarchies for accurate object detection and semantic segmentation (RCNN)筆記
- 6. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 7. Object Detection Network———Rcnn（Rich feature hierarchies for accurate oject detection and semantic ）
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- 10. RCNN學習筆記（1）-RCNN-Rich feature hierarchies for accurate object detection and semantic segmentation論文