RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
RCNN：Regions with CNN 背景 在RCNN出现以前，目标检测系统一般通过将多个low-level图像特征进行结合，来产生high-level的特征。 创新点 1.将CNN与region proposals相结合，首次展现出CNN在object detection问题上的强大威力，各种碾压传统方法 2.将图像分类与目标检测联系起来，利用预训练好的图像分类模型+少量数据的domain
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- 2. [译] RCNN：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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相关文章
- 1. Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. [译] RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 3. 目标检测--Rich feature hierarchies for accurate object detection and semantic segmentation(CVPR 2014)
- 4. RCNN学习笔记(1):Rich feature hierarchies for accurate object detection and semantic segmentation
- 5. [RCNN]Rich feature hierarchies for accurate object detection and semantic segmentation
- 6. 论文学习《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. 【论文阅读】Rich feature hierarchies for accurate object detection and semantic segmentation
- 10. R-CNN论文翻译Rich feature hierarchies for accurate object detection and semantic segmentation