no code implementations • ICCV 2023 • Changsong Wen, Xin Zhang, Xingxu Yao, Jufeng Yang
Therefore, we propose a new paradigm, termed ordinal label distribution learning (OLDL).
no code implementations • 9 Apr 2022 • Yueming Zhang, Xingxu Yao, Chao Liu, Feng Chen, Xiaolin Song, Tengfei Xing, Runbo Hu, Hua Chai, Pengfei Xu, Guoshan Zhang
In this paper, we design a dynamic self-adaptive threshold (DSAT) strategy in classification branch, which can automatically select pseudo labels to achieve an optimal trade-off between quality and quantity.
no code implementations • 27 Oct 2021 • Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang
The Visual Domain Adaptation (VisDA) 2021 Challenge calls for unsupervised domain adaptation (UDA) methods that can deal with both input distribution shift and label set variance between the source and target domains.
no code implementations • 30 Jun 2021 • Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer
Images can convey rich semantics and induce various emotions in viewers.
no code implementations • ICCV 2021 • Xingxu Yao, Sicheng Zhao, Pengfei Xu, Jufeng Yang
To reduce annotation labor associated with object detection, an increasing number of studies focus on transferring the learned knowledge from a labeled source domain to another unlabeled target domain.
no code implementations • 19 Mar 2021 • Sicheng Zhao, Quanwei Huang, YouBao Tang, Xingxu Yao, Jufeng Yang, Guiguang Ding, Björn W. Schuller
Recently, extensive research efforts have been dedicated to understanding the emotions of images.
1 code implementation • 22 Aug 2020 • Sicheng Zhao, Yaxian Li, Xingxu Yao, Wei-Zhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer
In this paper, we study end-to-end matching between image and music based on emotions in the continuous valence-arousal (VA) space.
no code implementations • ICCV 2019 • Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang
Images play a crucial role for people to express their opinions online due to the increasing popularity of social networks.