Coarse-to-Fine Description for Fine-Grained Visual Categorization

By Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian. 2016

76 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Quoc V. Le
2. Yuxin Peng
3. Dacheng Tao
4. Luc Van Gool
5. Simon Kornblith
6. Yu Qiao
7. Alan L. Yuille
8. Trevor Darrell

Citations in the corpus

• Do Better ImageNet Models Transfer Better? (2018, methodology): “Several papers have proposed methods to make better use of CNN features and thus improve the efficacy of transfer learning [43, 11, 42, 23, 73, 63, 13, 41, 54].”
• Object-Part Attention Model for Fine-Grained Image Classification (2017, methodology): “Furthermore, our approach outperforms the methods which use object annotation, such as Coarse-to-Fine [39], PG Alignment [12] and VGG-BGLm [13].”