1 天前 - … [27] suggested a deep learning … a deep learning architecture named FuzzyGCP
for automatic spoken language identification from speech signals. In this work, a deep learning …

2 天前 - … in unconstrained environments, this work proposes a deep learning-based architecture,
… According to the experimental results we find that although the face recognition model …

2 天前 - … deep learning solutions in critical domains - such as autonomous vehicles, facial
recognition, … potential attacks across the 3 domains: Face recognition trojaning attack [12], Text …

2 天前 - … In this paper, we present an adaptive KD approach, namely AdaDistill, for deep
face recognition. The proposed AdaDistill embeds the KD concept into the softmax loss by …

2 天前 - … rely on deep learning methods for their ability to efficiently extract facial features
from … [20] proposed a face recognition technology that tracks students’ status in real-time by …

2 天前 - … testing method based on deep reinforcement learning, aimed at … recognition
capabilities of deep learning with the decision-making mechanisms of reinforcement learning, our …

2 天前 - … In this section, we present the results of our deep learning-based facial recognition
model, specifically focusing on its performance in gender and age prediction tasks. These …

2 天前 - … reliability of the face recognition algorithm that is based on deep learning technology,
… large-scale face image dataset, resulting in a self-constructed dataset. A deep separable …

2 天前 - … achieved using deep learning technique. We used ABOA algorithm for feature
selection and deep learning techniques like Deep Belief Network emotion recognition with HHO …

2 天前 - … using deep learning techniques for face recognition in … algorithm utilizing transfer
learning for deep learning, thus … machine learning models. Hussain et al. [34] proposed e-…