X Qin, D Liu, D Wang - Neurocomputing, 2020 - Elsevier
Kinship verification is an emerging task in computer vision which aims at finding out whether there is a kin relation between given identities through their facial images. Applications of …
We present the largest database for visual kinship recognition, Families In the Wild (FIW), with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a …
YG Zhao, Z Song, F Zheng, L Shao - Information Sciences, 2018 - Elsevier
Kinship Verification (KV) has recently caught much attention in the computer vision community due to its potential applications ranging from missing children search to social …
L Li, X Feng, X Wu, Z Xia, A Hadid - … Conference, ICIAR 2016, in Memory of …, 2016 - Springer
The ability to automatically determine whether two persons are from the same family or not is referred to as Kinship (or family) verification. This is a recent and challenging research topic …
Recognizing Families In the Wild (RFIW) is a large-scale, multi-track automatic kinship recognition evaluation, supporting both kinship verification and family classification on …
In this survey, kinship verification is defined as the automatic process of verifying whether two or more persons are blood relatives (kin) by analyzing images of their faces. Kinship …
Automatic kinship verification from facial images is a relatively new and challenging research problem in computer vision. It consists in automatically determining whether two …
Facial image analysis has been an important subject of study in the communities of pattern recognition and computer vision. Facial images contain much information about the person …
With the propensity for deep learning models to learn unintended signals from data sets there is always the possibility that the network can “cheat” in order to solve a task. In the …