Name
Abstract | ||
|---|---|---|
We introduce the first Neural Architecture Search (NAS) method to find a better transformer architecture for image recognition. Recently, transformers without CNN-based backbones are found to achieve impressive performance for image recognition. However, the transformer is designed for NLP tasks and thus could be sub-optimal when directly used for image recognition. In order to improve the visual ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCV48922.2021.00008 | 2021 IEEE/CVF International Conference on Computer Vision (ICCV) |
Keywords | DocType | ISBN |
Computer vision,Visualization,Image recognition,Correlation,Computer architecture,Evolutionary computation,Transformers | Conference | 978-1-6654-2812-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boyu Chen | 1 | 7 | 5.16 |
| Peixia Li | 2 | 4 | 2.09 |
| Chuming Li | 3 | 2 | 2.07 |
| Baopu Li | 4 | 5 | 3.79 |
| Lei Bai | 5 | 21 | 6.90 |
| LIN, CHEN | 6 | 2 | 3.40 |
| Ming Sun | 7 | 91 | 16.25 |
| Junjie Yan | 8 | 1288 | 58.19 |
| Wanli Ouyang | 9 | 6 | 4.18 |