Face spoofing, age, gender and facial expression recognition using advance neural network architecture-based biometric system
Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the
huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life …
huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life …
AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images
Nowadays, the growing number of cases of possession and distribution of Child Sexual
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …
Face image analysis using machine learning: a survey on recent trends and applications
Human face image analysis using machine learning is an important element in computer
vision. The human face image conveys information such as age, gender, identity, emotion …
vision. The human face image conveys information such as age, gender, identity, emotion …
Using deep learning to predict ideology from facial photographs: Expressions, beauty, and extra-facial information
Deep learning techniques can use public data such as facial photographs to predict
sensitive personal information, but little is known about what information contributes to the …
sensitive personal information, but little is known about what information contributes to the …
A multi-task framework for facial attributes classification through end-to-end face parsing and deep convolutional neural networks
Human face image analysis is an active research area within computer vision. In this paper
we propose a framework for face image analysis, addressing three challenging problems of …
we propose a framework for face image analysis, addressing three challenging problems of …
Sfpd: simultaneous face and person detection in real-time for human–robot interaction
Face and person detection are important tasks in computer vision, as they represent the first
component in many recognition systems, such as face recognition, facial expression …
component in many recognition systems, such as face recognition, facial expression …
A unified framework for head pose, age and gender classification through end-to-end face segmentation
Accurate face segmentation strongly benefits the human face image analysis problem. In
this paper we propose a unified framework for face image analysis through end-to-end …
this paper we propose a unified framework for face image analysis through end-to-end …
Unsupervised Anomaly Approach to Pedestrian Age Classification from Surveillance Cameras Using an Adversarial Model with Skip-Connections
Anomaly detection is an active research area within the machine learning and scene
understanding fields. Despite the ambiguous definition, anomaly detection is considered an …
understanding fields. Despite the ambiguous definition, anomaly detection is considered an …
Bagging ensemble for deep learning based gender recognition using test-timeaugmentation on large-scale datasets
T DANIŞMAN - Turkish Journal of Electrical Engineering and …, 2021 - journals.tubitak.gov.tr
We present a bagging ensemble of convolutional networks in combination with the test-time
augmentation technique to improve performance on the cross-dataset gender recognition …
augmentation technique to improve performance on the cross-dataset gender recognition …
Multi-attribute recognition of facial images considering exclusive and correlated relationship among attributes
Multi-attribute recognition is one of the main topics attaining much attention in the pattern
recognition field these days. The conventional approaches to multi-attribute recognition has …
recognition field these days. The conventional approaches to multi-attribute recognition has …