Name
Abstract | ||
|---|---|---|
Fine-grained recognition poses the challenge of discriminating categories with only small subtle visual differences, which can be easily overwhelmed by diverse appearance within categories. Conventional approaches generally locate discriminative parts and then recognize the part-based features. However, we find that tuning the effective receptive field (ERF) of the network to the task plays the ke... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3069835 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Kernel,Convolution,Feature extraction,Visualization,Image recognition,Task analysis,Radio frequency | Journal | 32 |
Issue | ISSN | Citations |
3 | 1051-8215 | 1 |
PageRank | References | Authors |
0.35 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao Ding | 1 | 1 | 0.35 |
| Zhenjun Han | 2 | 176 | 16.40 |
| Yanzhao Zhou | 3 | 9 | 1.47 |
| Yi Zhu | 4 | 17 | 4.27 |
| Jie Chen | 5 | 392 | 65.58 |
| Qixiang Ye | 6 | 1 | 0.35 |
| Jianbin Jiao | 7 | 367 | 32.61 |