Rich feature hierarchies for accurate object detection and semantic segmentation
RCNN RCNN是深度学习在物体检测领域使用深度神经网络的开山之作，作者Ross Girshick大神，下面分如下几个部分来介绍这个论文的内容，其实是本人在读该文献以及查阅其他资料后的一些收获。 下面分如下几个方面来介绍RCNN： 1、整体框架 2、selective search算法（物体proposal） 3、预处理方式 4、模型训练 5、在线物体检测 整体
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- 1. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
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- 3. RCNN学习笔记(1):Rich feature hierarchies for accurate object detection and semantic segmentation
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相关文章
- 1. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. 目标检测--Rich feature hierarchies for accurate object detection and semantic segmentation(CVPR 2014)
- 3. RCNN学习笔记(1):Rich feature hierarchies for accurate object detection and semantic segmentation
- 4. [RCNN]Rich feature hierarchies for accurate object detection and semantic segmentation
- 5. 论文学习《Rich feature hierarchies for accurate object detection and semantic segmentation》
- 6. (38)[CVPR14] R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation
- 7. 【论文阅读】Rich feature hierarchies for accurate object detection and semantic segmentation
- 8. R-CNN论文翻译Rich feature hierarchies for accurate object detection and semantic segmentation
- 9. 论文笔记：Rich feature hierarchies for accurate object detection and semantic segmentation
- 10. 【论文快读】Rich feature hierarchies for accurate object detection and semantic segmentation