no code implementations • 8 Apr 2024 • Zoltan Csaki, Bo Li, Jonathan Li, Qiantong Xu, Pian Pawakapan, Leon Zhang, Yun Du, Hengyu Zhao, Changran Hu, Urmish Thakker
In this paper, we present a comprehensive investigation into the adaptation of LLMs to new languages.
1 code implementation • 3 Sep 2022 • Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang
Deep neural networks trained with standard cross-entropy loss are more prone to memorize noisy labels, which degrades their performance.
1 code implementation • 11 Jul 2022 • Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
To mimic these behaviors, we propose to explore contextual relationships to boost the performance of cervical abnormal cell detection.
1 code implementation • 13 Dec 2021 • Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou
Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images.
no code implementations • 18 Jun 2020 • Zhixiang Yin, Feng Ling, Giles M. Foody, Xinyan Li, Yun Du
This letter proposes a method to directly perform cloud detection in Landsat-8 imagery in GEE based on deep learning (DeepGEE-CD).