RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
RCNN：Regions with CNN 背景 在RCNN出現以前，目標檢測系統一般通過將多個low-level圖像特徵進行結合，來產生high-level的特徵。 創新點 1.將CNN與region proposals相結合，首次展現出CNN在object detection問題上的強大威力，各種碾壓傳統方法 2.將圖像分類與目標檢測聯繫起來，利用預訓練好的圖像分類模型+少量數據的domain
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- 1. Rich feature hierarchies for accurate object detection and semantic segmentation
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- 4. RCNN學習筆記(1):Rich feature hierarchies for accurate object detection and semantic segmentation
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- 8. (38)[CVPR14] R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation
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相關文章
- 1. Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. [譯] RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 3. 目標檢測--Rich feature hierarchies for accurate object detection and semantic segmentation(CVPR 2014)
- 4. RCNN學習筆記(1):Rich feature hierarchies for accurate object detection and semantic segmentation
- 5. [RCNN]Rich feature hierarchies for accurate object detection and semantic segmentation
- 6. 論文學習《Rich feature hierarchies for accurate object detection and semantic segmentation》
- 7. R-CNN:Rich feature hierarchies for accurate object detection and semantic segmentation
- 8. (38)[CVPR14] R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation
- 9. 【論文閱讀】Rich feature hierarchies for accurate object detection and semantic segmentation
- 10. R-CNN論文翻譯Rich feature hierarchies for accurate object detection and semantic segmentation