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Movinets series models are good helpers for real-time classified videos on mobile phones

2022-07-20 11:31:00 【Zilliz】

publisher ： Towhee Technical team
Need video understanding , But the model is too heavy 、 It takes too long ？ The lightweight motion recognition model is upgraded again , By Google research in 2021 Put forward in MoViNets Series can infer streaming video more efficiently , And support the implementation of classification of video streams captured by mobile devices .MoViNets General data set for video action recognition Kinetics、Moments in Tme and Charades Advanced accuracy and efficiency have been obtained on , Proved its high efficiency and wide applicability .
MoViNets: Streaming Evaluation vs. Multi-Clip Evaluation
MoViNets It is a series of Convolutional Neural Networks , Yes 2D Video classifiers and 3D Video classifiers learn from each other , The key advantages of being compatible with them , And alleviate their respective limitations . This series of models obtain rich and efficient video network structure through neural structure search , Reference stream buffering technology makes 3D Convolution can accept any length
Streaming video sequence of , Then simply integrate multiple models to improve accuracy , Finally, the calculation amount is effectively balanced 、 Memory overhead 、 precision .
 
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