BriefGPT.xyz
Sep, 2021
TSM: 基于时间位移模块的边缘设备高效可扩展视频理解
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
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Ji Lin, Chuang Gan, Kuan Wang, Song Han
TL;DR
提出了一个高效且高性能的Temporal Shift Module (TSM),它能够在进行时间建模时既保证计算效率又保持精度,并且在大规模训练方面具有比3D网络更高的可扩展性。
Abstract
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
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