论文阅读笔记 SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition
这篇论文来自美国罗格斯大学的 Han Zhang， CVPR2016 1. 简介 相比于一般的目标识别，细粒度识别具有更大的挑战性。其原因是由于姿态与视角的不同，不同图像之间微小的差异很容易被掩盖。一个直观的思路就是，利用目标的 part 去区分不同的子类。当前，一些 state-of-the-art 的方法都是利用 CNN 去检测 目标的 part regions。 但这些方
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相关文章
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