Cafe: Learning to condense dataset by aligning features
Dataset condensation aims at reducing the network training effort through condensing a
cumbersome training set into a compact synthetic one. State-of-the-art approaches largely …
cumbersome training set into a compact synthetic one. State-of-the-art approaches largely …
A survey on computer vision based human analysis in the COVID-19 era
The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …
whole, but also on the lives of individuals. Various prevention measures were introduced …
GaitFi: Robust device-free human identification via WiFi and vision multimodal learning
As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …
distance by passive sensors without subject cooperation, which plays an essential role in …
An efficient training approach for very large scale face recognition
Face recognition has achieved significant progress in deep learning era due to the ultra-
large-scale and welllabeled datasets. However, training on the outsize datasets is time …
large-scale and welllabeled datasets. However, training on the outsize datasets is time …
Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques
D Akingbesote, Y Zhan, R Maskeliūnas… - Algorithms, 2023 - mdpi.com
The paper presents an evaluation of a Pareto-optimized FaceNet model with data
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
A systematic review on facial detection and recognition: Limitations and opportunities
MA Khan, HFBM Zaki, ABM Ibrahim… - Asian Journal of …, 2024 - alambiblio.com
Face recognition technology is a biometric tool that identifies people by facial characteristics.
Individuals collect the facial photography, which is then automatically processed by picture …
Individuals collect the facial photography, which is then automatically processed by picture …
DSU-GAN: A robust frontal face recognition approach based on generative adversarial network
Face recognition technology is widely used in different areas, such as entrance guard,
payment etc. However, little attention has been given to non-positive faces recognition …
payment etc. However, little attention has been given to non-positive faces recognition …
Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition
Z Wang, S Zhang, J Peng, X Wang, Y Guo - arXiv preprint arXiv …, 2023 - arxiv.org
The outbreak of COVID-19 pandemic make people wear masks more frequently than ever.
Current general face recognition system suffers from serious performance degradation …
Current general face recognition system suffers from serious performance degradation …
Face Recognition Research and Development
Face recognition aims to identify or verify the identity of a person through his or her face
images or videos. It is one of the most important research topics in computer vision with …
images or videos. It is one of the most important research topics in computer vision with …