Generalizing MLPs with dropouts, batch normalization, and skip connections
T Kim - arXiv preprint arXiv:2108.08186, 2021 - arxiv.org
A multilayer perceptron (MLP) is typically made of multiple fully connected layers with
nonlinear activation functions. There have been several approaches to make them better (eg …
nonlinear activation functions. There have been several approaches to make them better (eg …
Rapid quantitative analysis of calcium in infant formula powder assisted by long short-term memory with variable importance using laser-induced breakdown …
Y Ding, L Yang, W Chen, J Chen, X Zhao, Y Luo… - Applied Optics, 2023 - opg.optica.org
Calcium is the main mineral responsible for healthy bone growth in infants. Laser-induced
breakdown spectroscopy (LIBS) was combined with a variable importance-based long short …
breakdown spectroscopy (LIBS) was combined with a variable importance-based long short …
Deep Multi-task Convolutional Neural Networks for Efficient Classification of Face Attributes
Facial feature recognition is an important subject in computer vision with numerous
applications. The human face plays a significant role in social interaction and personology …
applications. The human face plays a significant role in social interaction and personology …
Comparative assessment of federated and centralized machine learning
Federated Learning (FL) is a privacy preserving machine learning scheme, where training
happens with data federated across devices and not leaving them to sustain user privacy …
happens with data federated across devices and not leaving them to sustain user privacy …
P-Age: Pexels Dataset for Robust Spatio-Temporal Apparent Age Classification
Age estimation is a challenging task that has numerous applications. In this paper, we
propose a new direction for age classification that utilizes a video-based model to address …
propose a new direction for age classification that utilizes a video-based model to address …
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone
Facial age estimation has received a lot of attention for its diverse application scenarios.
Most existing studies treat each sample equally and aim to reduce the average estimation …
Most existing studies treat each sample equally and aim to reduce the average estimation …
[PDF][PDF] Age estimation using specific domain transfer learning
A Al-Shannaq, L Elrefaei - Jordanian Journal of Computers and …, 2020 - researchgate.net
Nowadays, the engagement of deep neural networks in computer vision increases the ability
to achieve higher accuracy in many learning tasks, such as face recognition and detection …
to achieve higher accuracy in many learning tasks, such as face recognition and detection …
What-Where-When Attention Network for video-based person re-identification
Video-based person re-identification plays a critical role in intelligent video surveillance by
learning temporal correlations from consecutive video frames. Most existing methods aim to …
learning temporal correlations from consecutive video frames. Most existing methods aim to …
Fair and accurate age prediction using distribution aware data curation and augmentation
Deep learning-based facial recognition systems have experienced increased media
attention due to exhibiting unfair behavior. Large enterprises, such as IBM, shut down their …
attention due to exhibiting unfair behavior. Large enterprises, such as IBM, shut down their …
A hierarchical approach toward prediction of human biological age from masked facial image leveraging deep learning techniques
MM Islam, JH Baek - Applied Sciences, 2022 - mdpi.com
The lifestyle of humans has changed noticeably since the contagious COVID-19 disease
struck globally. People should wear a face mask as a protective measure to curb the spread …
struck globally. People should wear a face mask as a protective measure to curb the spread …