no code implementations • 23 May 2024 • Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen
To tackle the diversity of dimensional spaces across different foundation models and provide a more precise representation of the changes within these spaces, this paper introduces a generalized parameter-efficient fine-tuning framework, FLoRA, designed for various dimensional parameter space.
no code implementations • 18 Apr 2024 • Chongjie Si, Xuehui Wang, Xiaokang Yang, Wei Shen
However, a scenario usually arises where a pixel is concurrently predicted as an old class by the pre-trained segmentation model and a new class by the seed areas.
no code implementations • 18 Dec 2023 • Chongjie Si, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen
In partial label learning (PLL), each instance is associated with a set of candidate labels among which only one is ground-truth.
1 code implementation • 17 May 2023 • Yuheng Jia, Chongjie Si, Min-Ling Zhang
complementary labels), which accurately indicates a set of labels that do not belong to a sample.
2 code implementations • 9 Jul 2022 • Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
Previous methods capture the high-order label correlations mainly by transforming the label matrix to a latent label space with low-rank matrix factorization.