1 code implementation • 21 Oct 2023 • Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu
In this work, we present a general framework for continual learning of sequentially arrived tasks with the use of pre-training, which has emerged as a promising direction for artificial intelligence systems to accommodate real-world dynamics.
1 code implementation • NeurIPS 2023 • Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu
Following these empirical and theoretical insights, we propose Hierarchical Decomposition (HiDe-)Prompt, an innovative approach that explicitly optimizes the hierarchical components with an ensemble of task-specific prompts and statistics of both uninstructed and instructed representations, further with the coordination of a contrastive regularization strategy.
no code implementations • 28 Jun 2023 • Jiawei Liu, Jingyi Xie, Fanrui Zhang, Qiang Zhang, Zheng-Jun Zha
The explosive growth of rumors with text and images on social media platforms has drawn great attention.
no code implementations • 10 Jun 2022 • Jingyi Xie, Jiawei Liu, Zheng-Jun Zha
LNMT leverages unlabeled news and feedback comments of users to enlarge the amount of training data and facilitates model training by generating refined labels as weak supervision.
4 code implementations • ECCV 2020 • Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang
We present a model-agnostic post-processing scheme to improve the boundary quality for the segmentation result that is generated by any existing segmentation model.
5 code implementations • ICCV 2019 • Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
Attention mechanism has been shown to be effective for person re-identification (Re-ID).
Ranked #16 on Person Re-Identification on Market-1501-C