Name
Abstract | ||
|---|---|---|
Recently, substantial research effort has focused on how to apply CNNs or RNNs to better capture temporal patterns in videos, so as to improve the accuracy of video classification. In this paper, we investigate the potential of a purely attention based local feature integration. Accounting for the characteristics of such features in video classification, we first propose Basic Attention Clusters (... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TPAMI.2020.3029554 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Feature extraction,Convolution,Computational modeling,Plugs,Three-dimensional displays,Task analysis,Two dimensional displays | Journal | 44 |
Issue | ISSN | Citations |
4 | 0162-8828 | 3 |
PageRank | References | Authors |
0.40 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Long | 1 | 3 | 0.73 |
| Gerard de Melo | 2 | 124 | 22.34 |
| He, D. | 3 | 33 | 13.67 |
| Fu Li | 4 | 25 | 8.88 |
| Zhizhen Chi | 5 | 3 | 0.40 |
| Shilei Wen | 6 | 79 | 13.59 |
| Chuang Gan | 7 | 253 | 31.92 |