  Impressed by the coolest skateboarding sports program from 2021 Tokyo Olympic
Games, we are the first to curate the original real-world video datasets
"SkateboardAI" in the wild, even self-design and implement diverse uni-modal
and multi-modal video action recognition approaches to recognize different
tricks accurately. For uni-modal methods, we separately apply (1) CNN and LSTM;
(2) CNN and BiLSTM; (3) CNN and BiLSTM with effective attention mechanisms; (4)
Transformer-based action recognition pipeline. Transferred to the multi-modal
conditions, we investigated the two-stream Inflated-3D architecture on
"SkateboardAI" datasets to compare its performance with uni-modal cases. In
sum, our objective is developing an excellent AI sport referee for the coolest
skateboarding competitions.
