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12/04/2020
Batch Group Normalization
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
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05/28/2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Few-shot learning (FSL) has attracted increasing attention in recent yea...
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07/22/2019
Universal Person Re-Identification
Most state-of-the-art person re-identification (re-id) methods depend on...
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11/19/2018
Self-Referenced Deep Learning
Knowledge distillation is an effective approach to transferring knowledg...
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10/16/2018
Collaborative Deep Learning Across Multiple Data Centers
Valuable training data is often owned by independent organizations and l...
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07/23/2018
Person Search by Multi-Scale Matching
We consider the problem of person search in unconstrained scene images. ...
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06/12/2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge distillation is effective to train small and generalisable net...
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07/10/2017