1 code implementation • 13 Mar 2024 • Jianan Jiang, Xinglin Li, Weiren Yu, Di wu
Our method excels in preserving the distinctive style and intricate details essential for fashion design applications.
no code implementations • 3 Dec 2020 • Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye
In the proposed model, we design a data imputation module to fill the missing feature values based on the partial observations in the target domain, while aligning the two domains via deep adversarial adaption.
1 code implementation • 8 Jun 2020 • Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye
The TMHFS method extends the Meta-Confidence Transduction (MCT) and Dense Feature-Matching Networks (DFMN) method [2] by introducing a new prediction head, i. e, an instance-wise global classification network based on semantic information, after the common feature embedding network.
no code implementations • 18 May 2020 • Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye
In this paper, we propose a feature transformation ensemble model with batch spectral regularization for the Cross-domain few-shot learning (CD-FSL) challenge.
no code implementations • 2 Jul 2019 • Qing Song, Yao Guo, Jianan Jiang, Chun Liu, Mengjie Hu
Railway transportation is the artery of China's national economy and plays an important role in the development of today's society.