Multi-dataset Training of Transformers for Robust Action Recognition. (arXiv:2209.12362v2 [cs.CV] UPDATED)

We study the task of robust feature representations, aiming to generalize
well on multiple datasets for action recognition. We build our method on
Transformers for its efficacy. Although we have witnessed great progress for
video action recognition in the past decade, it remains challenging yet
valuable how to train a single model that can perform well across multiple
datasets. Here, we propose a novel multi-dataset training paradigm, MultiTrain,
with the design of two new loss terms, namely informative loss and …

arxiv dataset training transformers