12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo, Junhao Zhao, Chaoqun Du +6
Test-time adaptation (TTA) aims to improve the performance of source-domain pre-trained models on previously unseen, shifted target domains. Traditional TTA methods primarily adapt…
cs.CV2020★ 12 cited
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving
Mu Cai, Hong Zhang, Huijuan Huang +3
Image-to-image translation has been revolutionized with GAN-based methods. However, existing methods lack the ability to preserve the identity of the source domain. As a result, sy…
cs.LG2020
Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification
Kaichen Zhou, Shiji Song, Gao Huang +2
In large-scale classification problems, the data set always be faced with frequent updates when a part of the data is added to or removed from the original data set. In this case,…