Challenge Introduction
The lack of large-scale data severely hinders the progress of sign language recognition (SLR), as manually collecting and labeling sign videos is rather time-consuming. To facilitate SLR, we release a new large-scale Chinese dataset, which can generate a large number of samples in a novel cost- controlled manner. With only a few sub-videos, hundreds of videos could be synthesized by combining different sub-video pairs. Inference is performed on normally recorded videos.
This competition hopes to demonstrate the effectiveness of large-scale data on SLR, i.e., training on the combinatorial data and testing on the complete data.
Challenge Organization
Challenge Co-Chairs
- Wei Feng, Tianjin University, China
- Di Lin, Tianjin University, China
E-mail: Ande.lin1988@gmail.com
Organizing Team
- Wei Feng, Tianjin University, China
- Di Lin, Tianjin University, China
- Qing Guo, Agency for Science, Technology and Research (A*STAR), Singapore
- Zhensong Zhang, Huawei, China
Challenge Webpage
Challenge Contact
Di Lin, Tianjin University, China
E-mail: Ande.lin1988@gmail.com