Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework. (arXiv:2208.05034v1 [cs.CV])

Vision-based human activity recognition has emerged as one of the essential
research areas in video analytics domain. Over the last decade, numerous
advanced deep learning algorithms have been introduced to recognize complex
human actions from video streams. These deep learning algorithms have shown
impressive performance for the human activity recognition task. However, these
newly introduced methods either exclusively focus on model performance or the
effectiveness of these models in terms of computational efficiency and
robustness, resulting in a biased tradeoff …

arxiv attention bi cnn cv framework human