May 25, 2023 · In our article, the performance of deep neural networks surpassed most of the techniques in the feature learning and extraction tasks, ...
While not directly related to construction, this review provides insights into advanced neural components that could be applied to construction-related tasks.
In this research study, we comprehensively review deep learning-based video action recognition methods with special emphasis on methods based on convolutional ...
The performance of deep neural networks surpassed most of the techniques in the feature learning and extraction tasks, especially video action recognition, ...
May 25, 2023 · The work comprehensively explores action recognition techniques, integrating spatial and temporal information to enhance classification accuracy ...
In light of the growing popularity and the recent developments in video-based human action recognition, this review imparts details of current trends and ...
Not only to provide a comparative analysis about the current state of human action recognition using deep learning algorithms, but also to point out the new ...
Apr 24, 2023 · This paper presents a comprehensive survey of approaches and techniques in deep learning-based human activity analysis.
The experimental results of this paper show that it is feasible to implement human action recognition through deep learning algorithms, the outcome is excellent ...
Missing: Neural Networks
This paper aims to present a comparative review of vision-based human activity recognition with the main focus on deep learning techniques on various benchmark ...