Tarique Hussain

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EMO-MoviNet: Enhancing Action Recognition in Videos with EvoNorm, Mish Activation, and Optimal Frame Selection for Efficient Mobile Deployment

Sep 27, 2023 | mdpi.com | Tarique Hussain |Zulfiqar Memon |Rizwan A. Qureshi |Tanvir Alam

6.1. DiscussionOur study emphasizes the significance of normalization layers and activation functions in deep learning networks for stable optimization and enhanced generalization. We discuss the innovative EvoNorm layer, which outperforms the traditional Batch Normalization and Rectified Linear Unit (ReLU) combination. Two EvoNorm variants, EvoNorm-B and EvoNorm-S, are presented, with the latter incorporating the Swish activation function.

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