The Multi-Modal Video Reasoning and Analyzing Competition
Peng, Haoran, Huang, He, Xu, Li, Li, Tianjiao, Liu, Jun, Rahmani, Hossein, Ke, Qiuhong, Guo, Zhicheng, Wu, Cong, Li, Rongchang, Ye, Mang, Wang, Jiahao, Zhang, Jiaxu, Liu, Yuanzhong, He, Tao, Zhang, Fuwei, Liu, Xianbin, Lin, Tao
–arXiv.org Artificial Intelligence
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021. This competition is composed of four different tracks, namely, video question answering, skeleton-based action recognition, fisheye video-based action recognition, and person re-identification, which are based on two datasets: SUTD-TrafficQA and UAV-Human. We summarize the top-performing methods submitted by the participants in this competition and show their results achieved in the competition.
arXiv.org Artificial Intelligence
Aug-18-2021
- Country:
- Asia (0.14)
- Genre:
- Research Report (0.50)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning > Neural Networks (0.47)
- Natural Language > Question Answering (0.36)
- Vision (1.00)
- Information Technology > Artificial Intelligence