Rich feature hierarchies for accurate object detection and semantic segmentation论文细读
因为研究方向是目标检测，所以最近开始读文献了，因为自己知识浅薄，如有不足请见谅，欢迎互相交流。 论文算法特点的简单介绍： 1.使用了大容量CNN自上而下的提取候选区域以便进行目标检测和分割。 2.在标记数据较为匮乏时，使用监督学习在辅助数据集上进行预训练，然后在针对特定区域进行微调，大幅度提高了性能表现。 RCNN的步骤 1.首先使用Selective Search方法生成2000个region
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- 1. Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. 【论文阅读】Rich feature hierarchies for accurate object detection and semantic segmentation
- 3. 【论文快读】Rich feature hierarchies for accurate object detection and semantic segmentation
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