Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices
Given the explosive growth in video content generation, there is a rising demand for efficient and scalable video recognition. Deep learning has shown its remarkable performance in video analytics, by applying 2D or 3D Convolutional Neural Networks (CNNs) across multiple video frames. However, high...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Tsinghua University Press
2025-05-01
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| Seri Bilgileri: | Big Data Mining and Analytics |
| Konular: | |
| Online Erişim: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020093 |
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