Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gong, Sixue"'
Face recognition is known to exhibit bias - subjects in a certain demographic group can be better recognized than other groups. This work aims to learn a fair face representation, where faces of every group could be more equally represented. Our prop
Externí odkaz:
http://arxiv.org/abs/2006.07576
We address the problem of bias in automated face recognition and demographic attribute estimation algorithms, where errors are lower on certain cohorts belonging to specific demographic groups. We present a novel de-biasing adversarial network (DebFa
Externí odkaz:
http://arxiv.org/abs/1911.08080
Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis. However, for video face recognition, where the base CNNs trained on large-scale data already provide discriminative features, using Long
Externí odkaz:
http://arxiv.org/abs/1904.12019
We propose a new approach to video face recognition. Our component-wise feature aggregation network (C-FAN) accepts a set of face images of a subject as an input, and outputs a single feature vector as the face representation of the set for the recog
Externí odkaz:
http://arxiv.org/abs/1902.07327
Autor:
Deb, Debayan, Wiper, Susan, Russo, Alexandra, Gong, Sixue, Shi, Yichun, Tymoszek, Cori, Jain, Anil
We present a new method of primate face recognition, and evaluate this method on several endangered primates, including golden monkeys, lemurs, and chimpanzees. The three datasets contain a total of 11,637 images of 280 individual primates from 14 sp
Externí odkaz:
http://arxiv.org/abs/1804.08790
This paper addresses the following questions pertaining to the intrinsic dimensionality of any given image representation: (i) estimate its intrinsic dimensionality, (ii) develop a deep neural network based non-linear mapping, dubbed DeepMDS, that tr
Externí odkaz:
http://arxiv.org/abs/1803.09672
In this paper we address the following question, given a face representation, how many identities can it resolve? In other words, what is the capacity of the face representation? A scientific basis for estimating the capacity of a given face represen
Externí odkaz:
http://arxiv.org/abs/1709.10433