Before revision:  Here, we construct an end-to-end framework for TAD upon Transformer, termed TadTR, which simultaneously predicts all action instances as a set of labels and temporal locations in parallel.
After revision:  In this paper, we propose an end-to-end framework for TAD upon Transformer, termed TadTR, which simultaneously predicts all action instances as a set of labels and temporal locations in parallel.