Unsupervised Template Learning for Fine-Grained Object Recognition(精讀)
一.文獻名字和做者 Unsupervised Template Learning for Fine-Grained Object Recognition， 二.閱讀時間 2014年12月10日 三.文獻的目的 解決細粒度分類問題中，如何找到包含有細粒度差別的有相同形狀的物體塊在不一樣圖像上面的圖像區域的問題。主要作法是經過非監督的模板匹配方法進行的。 四.文獻的貢
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相關文章
- 1. 論文閱讀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(閱讀)
- 4. Selective Search for Object Recognition(泛讀)
- 5. Selective Search for Object Recognition解讀
- 6. Selective Search for Object Recognition
- 7. Unsupervised Hard Example Mining from Videos for Improved Object Detection論文精讀
- 8. 【論文理解】A Self-supervised GAN for Unsupervised Few-shot Object Recognition
- 9. [解讀] Deep Clustering for Unsupervised Learning of Visual Features
- 10. 文獻閱讀 - Deep Residual Learning for Image Recognition