Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
| MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning | |
Lian, Zheng1; Sun, Haiyang2; Sun, Licai2; Chen, Kang3; Xu, Mngyu4; Wang, Kexin4; Xu, Ke2; He, Yu2; Li, Ying5; Zhao, Jinming6; Liu, Ye7 ; Liu, Bin4; Yi, Jiangyan4; Wang, Meng8; Cambria, Erik9; Zhao, Guoying10; Schuller, Björn W.11; Tao, Jianhua12
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| 2023 | |
| 会议名称 | MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia |
| 会议录名称 | MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia |
| 页码 | 9610-9614 |
| 会议日期 | 2023 |
| 会议地点 | 不详 |
| 产权排序 | 7 |
| 摘要 | The first Multimodal Emotion Recognition Challenge (MER 2023)1 was successfully held at ACM Multimedia. The challenge focuses on system robustness and consists of three distinct tracks: (1) MER-MULTI, where participants are required to recognize both discrete and dimensional emotions; (2) MER-NOISE, in which noise is added to test videos for modality robustness evaluation; (3) MER-SEMI, which provides a large amount of unlabeled samples for semi-supervised learning. In this paper, we introduce the motivation behind this challenge, describe the benchmark dataset, and provide some statistics about participants. To continue using this dataset after MER 2023, please sign a new End User License Agreement2 and send it to our official email address3. We believe this high-quality dataset can become a new benchmark in multimodal emotion recognition, especially for the Chinese research community. |
| DOI | 10.1145/3581783.3612836 |
| URL | 查看原文 |
| 收录类别 | EI |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | https://ir.psych.ac.cn/handle/311026/46526 |
| 专题 | 中国科学院心理研究所 |
| 作者单位 | 1.Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Peking University, Beijing, China 4.Institute of Automation, CAS, Beijing, China 5.Shandong Normal University, Shandong, China 6.Renmin University of China, Beijing, China 7.Institute of Psychology, CAS, Beijing, China 8.Ant Group, Beijing, China 9.Nanyang Technological University, Singapore, Singapore 10.University of Oulu, Oulu, Finland 11.Imperial College London, London, United Kingdom 12.Tsinghua University, Beijing, China |
| 推荐引用方式 GB/T 7714 | Lian, Zheng,Sun, Haiyang,Sun, Licai,et al. MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning[C],2023:9610-9614. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 3581783.3612836.pdf（993KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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