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VidConv: A modernized 2D ConvNet for Efficient Video Recognition

This is official implementation of paper VidConv: A modernized 2D ConvNet for Efficient Video Recognition

  • The paper is under review, and the full Code will be released upon the acceptance decision.
  • The tiny version of VidConv backbone, which we used to secure the 3rd place in AI City Challenge 2022 -Track 3: Driver Action Recognition, can be found in https://github.com/cybercore-co-ltd/AICity2022-Track3

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