Effect of variation of hyperparameters.

<div><p>Human action recognition forms an important part of several aerial security and surveillance applications. Indeed, numerous efforts have been made to solve the problem in an effective and efficient manner. Existing methods, however, are generally aimed to recognize either solo ac...

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Bibliographic Details
Main Author:	Mubashir Shah (21368473) (author)
Other Authors:	Tahir Nawaz (21211247) (author), Rab Nawaz (582671) (author), Nasir Rashid (16891509) (author), Muhammad Osama Ali (21368476) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified outperforming several state 18 classes including 9558 ), 2p 9337 ), lstm several aerial security 9774 ), 3d person interaction classes human solo actions extensive performance evaluation computationally efficient models solo actions 9921 ), efficient manner aerial videos act models 3d cnn world applications validation set train set thus restricting surveillance applications specific scenarios paper presents numerous efforts need remains multiple benchmarks lightweight architecture level cameras important part generic lightweight generic keypoints generally aimed existing methods drone action devise lightweight art methods 9923 outperforms 9920 ). 0709m parameters 0389g flops
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Effect of variation of hyperparameters.

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