  In this work, we present the winning solution for ORBIT Few-Shot Video Object
Recognition Challenge 2022. Built upon the ProtoNet baseline, the performance
of our method is improved with three effective techniques. These techniques
include the embedding adaptation, the uniform video clip sampler and the
invalid frame detection. In addition, we re-factor and re-implement the
official codebase to encourage modularity, compatibility and improved
performance. Our implementation accelerates the data loading in both training
and testing.
