RCNN学习笔记(1):Rich feature hierarchies for accurate object detection and semantic segmentation
rcnn主要作用就是用于物体检测，就是首先通过selective search 选择2000个候选区域，这些区域中有我们需要的所对应的物体的bounding-box，然后对于每一个region proposal 都wrap到固定的大小的scale,227*227(AlexNet Input),对于每一个处理之后的图片，把他都放到CNN上去进行特征提取，得到每个region proposal的f
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相关文章
- 1. RCNN学习笔记(1):Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. Rich feature hierarchies for accurate object detection and semantic segmentation
- 3. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 4. Rich feature hierarchies for accurate object detection and semantic segmentation (RCNN)笔记
- 5. RCNN学习笔记（1）-RCNN-Rich feature hierarchies for accurate object detection and semantic segmentation论文
- 6. [RCNN]Rich feature hierarchies for accurate object detection and semantic segmentation
- 7. 【目标检测】RCNN (Rich feature hierarchies for accurate object detection and semantic segmentation)
- 8. 【RCNN】《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. 【论文阅读笔记】Rich feature hierarchies for accurate object detection and semantic segmentation