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Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Deep metric learning, which learns discriminative features to process im...
04/04/2019 ∙ by Tongtong Yuan, et al. ∙
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Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
In zero-shot image retrieval (ZSIR) task, embedding learning becomes mor...
07/27/2019 ∙ by Binghui Chen, et al. ∙
7
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Mixed High-Order Attention Network for Person Re-Identification
Attention has become more attractive in person reidentification (ReID) a...
08/16/2019 ∙ by Binghui Chen, et al. ∙
6
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Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Over the past few years, softmax and SGD have become a commonly used com...
08/12/2017 ∙ by Binghui Chen, et al. ∙
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ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Deep embedding learning becomes more attractive for discriminative featu...
06/04/2018 ∙ by Binghui Chen, et al. ∙
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Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
The performance of face detectors has been largely improved with the dev...
11/20/2018 ∙ by Wanxin Tian, et al. ∙
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Virtual Class Enhanced Discriminative Embedding Learning
Recently, learning discriminative features to improve the recognition pe...
11/30/2018 ∙ by Binghui Chen, et al. ∙
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Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Deep metric learning has been widely applied in many computer vision tas...
01/22/2019 ∙ by Binghui Chen, et al. ∙
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