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Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
Mei Wang, Weihong Deng
Racial equality is an important theme of international human rights law, but it has been largely obscured when the overall face recognition accuracy is pursued blindly. More facts…
Metric Classification Network in Actual Face Recognition Scene
Jian Li, Yan Wang, Xiubao Zhang +2
In order to make facial features more discriminative, some new models have recently been proposed. However, almost all of these models use the traditional face verification method,…
Adversarial Learning with Margin-based Triplet Embedding Regularization
Yaoyao Zhong, Weihong Deng
The Deep neural networks (DNNs) have achieved great success on a variety of computer vision tasks, however, they are highly vulnerable to adversarial attacks. To address this probl…
Mixed High-Order Attention Network for Person Re-Identification
Binghui Chen, Weihong Deng, Jiani Hu
Attention has become more attractive in person reidentification (ReID) as it is capable of biasing the allocation of available resources towards the most informative parts of an in…
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
Binghui Chen, Weihong Deng
In zero-shot image retrieval (ZSIR) task, embedding learning becomes more attractive, however, many methods follow the traditional metric learning idea and omit the problems behind…
A Deeper Look at Facial Expression Dataset Bias
Shan Li, Weihong Deng
Datasets play an important role in the progress of facial expression recognition algorithms, but they may suffer from obvious biases caused by different cultures and collection con…
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong Yuan, Weihong Deng, Jian Tang +2
Deep metric learning, which learns discriminative features to process image clustering and retrieval tasks, has attracted extensive attention in recent years. A number of deep metr…
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng
Deep metric learning has been widely applied in many computer vision tasks, and recently, it is more attractive in \emph{zero-shot image retrieval and clustering}(ZSRC) where a goo…