  In this work, we introduce our solution to the EPIC-KITCHENS-100 2022 Action
Detection challenge. One-stage Action Detection Transformer (OADT) is proposed
to model the temporal connection of video segments. With the help of OADT, both
the category and time boundary can be recognized simultaneously. After
ensembling multiple OADT models trained from different features, our model can
reach 21.28\% action mAP and ranks the 1st on the test-set of the Action
detection challenge.
