  In this paper, we propose a data augmentation method for action recognition
using instance segmentation. Although many data augmentation methods have been
proposed for image recognition, few of them are tailored for action
recognition. Our proposed method, ObjectMix, extracts each object region from
two videos using instance segmentation and combines them to create new videos.
Experiments on two action recognition datasets, UCF101 and HMDB51, demonstrate
the effectiveness of the proposed method and show its superiority over
VideoMix, a prior work.
