Unsupervised Template Learning for Fine-Grained Object Recognition(精读)

时间 2020-01-24

标签 unsupervised template learning fine grained object recognition 精读繁體版

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一.文献名字和做者 Unsupervised Template Learning for Fine-Grained Object Recognition，二.阅读时间 2014年12月10日三.文献的目的解决细粒度分类问题中，如何找到包含有细粒度差别的有相同形状的物体块在不一样图像上面的图像区域的问题。主要作法是经过非监督的模板匹配方法进行的。四.文献的贡

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1. 论文阅读02 Unsupervised Feature Learning for RGB-D Based Object Recognition
2. Domain Adaptation for Object Recognition: An Unsupervised Approach
3. Selective Search for Object Recognition(阅读)
4. Selective Search for Object Recognition(泛读)
5. Selective Search for Object Recognition解读
6. Selective Search for Object Recognition
7. Unsupervised Hard Example Mining from Videos for Improved Object Detection论文精读
8. 【论文理解】A Self-supervised GAN for Unsupervised Few-shot Object Recognition
9. [解读] Deep Clustering for Unsupervised Learning of Visual Features
10. 文献阅读 - Deep Residual Learning for Image Recognition

>>更多相关文章<<