[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Face recognition by humans and machines: three fundamental advances from deep learning
AJ O'Toole, CD Castillo - Annual Review of Vision Science, 2021 - annualreviews.org
Deep learning models currently achieve human levels of performance on real-world face
recognition tasks. We review scientific progress in understanding human face processing …
recognition tasks. We review scientific progress in understanding human face processing …
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
Finger vein recognition received special attention among all other biometric traits due to its
high security. Adequate recognition and classification accuracy ensure the security of …
high security. Adequate recognition and classification accuracy ensure the security of …
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Previous generations of face recognition algorithms differ in accuracy for images of different
races (race bias). Here, we present the possible underlying factors (data-driven and …
races (race bias). Here, we present the possible underlying factors (data-driven and …
Going deeper into face detection: A survey
Face detection is a crucial first step in many facial recognition and face analysis systems.
Early approaches for face detection were mainly based on classifiers built on top of hand …
Early approaches for face detection were mainly based on classifiers built on top of hand …
[HTML][HTML] Survey and performance analysis of deep learning based object detection in challenging environments
Recent progress in deep learning has led to accurate and efficient generic object detection
networks. Training of highly reliable models depends on large datasets with highly textured …
networks. Training of highly reliable models depends on large datasets with highly textured …
Attacks and defenses in user authentication systems: A survey
X Wang, Z Yan, R Zhang, P Zhang - Journal of Network and Computer …, 2021 - Elsevier
User authentication systems (in short authentication systems) have wide utilization in our
daily life. Unfortunately, existing authentication systems are prone to various attacks while …
daily life. Unfortunately, existing authentication systems are prone to various attacks while …
Recent development in face recognition
Face stands out as a preferable biometric trait for automatic human authentication as it is
intuitive and non-intrusive. This paper investigates various feature-based automatic face …
intuitive and non-intrusive. This paper investigates various feature-based automatic face …
AIoT Used for COVID‐19 Pandemic Prevention and Control
SW Chen, XW Gu, JJ Wang… - Contrast media & …, 2021 - Wiley Online Library
The pandemic of COVID‐19 is continuing to wreak havoc in 2021, with at least 170 million
victims around the world. Healthcare systems are overwhelmed by the large‐scale virus …
victims around the world. Healthcare systems are overwhelmed by the large‐scale virus …
Fighting fake news: two stream network for deepfake detection via learnable SRM
Benefitting from the development of deep generative networks, modern fake news
generation methods called Deepfake rapidly go viral over the Internet, calling for efficient …
generation methods called Deepfake rapidly go viral over the Internet, calling for efficient …