Multiscale Attentional Squeeze-And-Excitation Network for Person Re-Identification.
In recent years, with the advancement of deep learning, person re-identification (Re-ID) has become increasingly significant. The existing person Re-ID methods primarily focus on optimizing network architecture to enhance Re-ID task performance. However, these methods often overlook the importance...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Universidad Internacional de La Rioja (UNIR)
2025-08-01
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| シリーズ: | International Journal of Interactive Multimedia and Artificial Intelligence |
| 主題: | |
| オンライン･アクセス: | https://www.ijimai.org/index.php/ijimai/article/view/825 |
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