Search Results for author: Zhilin Zheng

Found 6 papers, 2 papers with code

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

no code implementations30 Dec 2020 Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao

Exploiting available medical records to train high performance computer-aided diagnosis (CAD) models via the semi-supervised learning (SSL) setting is emerging to tackle the prohibitively high labor costs involved in large-scale medical image annotations.

Knowledge Distillation

Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification

no code implementations17 Jul 2020 Yan Zhang, Zhilin Zheng, Binyu He, Li Sun

This paper proposes to learn the sample posterior and the class prior distribution in the latent space, so that not only representative features but also the uncertainty can be built by the model.

Person Re-Identification

Disentangling the Spatial Structure and Style in Conditional VAE

no code implementations29 Oct 2019 Ziye Zhang, Li Sun, Zhilin Zheng, Qingli Li

Depending on whether the label is related with the spatial structure, the output $z_s$ from the condition mapping network is used either as a style code or a spatial structure code.

Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions

1 code implementation CVPR 2019 Zhilin Zheng, Li Sun

But different from CVAE, we present a method for disentangling the latent space into the label relevant and irrelevant dimensions, $\bm{\mathrm{z}}_s$ and $\bm{\mathrm{z}}_u$, for a single input.

Variational Inference

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