Search Results for author: Peijun Tang

Found 3 papers, 0 papers with code

Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning

no code implementations23 Mar 2021 Shiyu Tang, Peijun Tang, Yanxiang Gong, Zheng Ma, Mei Xie

It draws class-wise features closer than coarse feature alignment or class-wise feature alignment only, therefore improves the model's performance to a great extent.

Contrastive Learning Semantic Segmentation +1

Contrastive Disentanglement in Generative Adversarial Networks

no code implementations5 Mar 2021 Lili Pan, Peijun Tang, Zhiyong Chen, Zenglin Xu

Disentanglement is defined as the problem of learninga representation that can separate the distinct, informativefactors of variations of data.

Contrastive Learning Disentanglement

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