30 citations · 40 across the 3 of their papers we have counts for
6 papers
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…
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…
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen, Weihong Deng, Haifeng Shen
Recently, learning discriminative features to improve the recognition performances gradually becomes the primary goal of deep learning, and numerous remarkable works have emerged.…
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen, Weihong Deng, Junping Du
Over the past few years, softmax and SGD have become a commonly used component and the default training strategy in CNN frameworks, respectively. However, when optimizing CNNs with…