TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices
IEEE The explosive growth in video streaming requires video understanding at high accuracy and low computation cost. Conventional 2D CNNs are computationally cheap but cannot capture temporal relationships; 3D CNN based methods can achieve good performance but are computationally intensive. In this...
| Hlavní autoři: | , , , |
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| Další autoři: | |
| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Institute of Electrical and Electronics Engineers (IEEE)
2022
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| On-line přístup: | https://hdl.handle.net/1721.1/143616 |