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ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks



Xinshao Wang , Yang Hua , Elyor Kodirov , Neil M. Robertson

* Open discussion: we show it's fine for a learner (student) to be confident towards a correct low entropy status. Then more research attention should be paid to the definition of correct knowledge, as in genera we accept, human annotations used for learning supervision may be biased, subjective, and wrong 

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ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise



Xinshao Wang , Yang Hua , Elyor Kodirov , Neil M. Robertson

* Learning target revising, softer targets, entropy regularisation, EM algorithm. A target label distribution should define both the semantic class and similarity structure! 

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Instance Cross Entropy for Deep Metric Learning



Xinshao Wang , Elyor Kodirov , Yang Hua , Neil Robertson


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ID-aware Quality for Set-based Person Re-identification



Xinshao Wang , Elyor Kodirov , Yang Hua , Neil M. Robertson

* A Set-based Person Re-identification Baseline: Simple Average Fusion of Global Spatial Representations, without temporal information, without parts/poses/attributes information 

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Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels



Xinshao Wang , Yang Hua , Elyor Kodirov , Neil Robertson

* Question: What training examples should be focused and how much more should they be emphasised when training DNNs under label noise? Answer: When noise rate is higher, we can improve a model's robustness by focusing on relatively less difficult examples 

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Improving MAE against CCE under Label Noise



Xinshao Wang , Elyor Kodirov , Yang Hua , Neil M. Robertson

* Mean Absolute Error, Cross Entropy, Data fitting(Overfitting, Underfitting), Noise Robustness, Label Noise 

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Ranked List Loss for Deep Metric Learning



Xinshao Wang , Yang Hua , Elyor Kodirov , Guosheng Hu , Romain Garnier , Neil M. Robertson

* CVPR19, Deep Metric Learning/Feature Embedding, Learning Representations, Image Retrieval/Clustering 

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GAN-based Pose-aware Regulation for Video-based Person Re-identification



Alessandro Borgia , Yang Hua , Elyor Kodirov , Neil M. Robertson


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