Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge. (arXiv:2206.08610v1 [cs.CV])

Generic Event Boundary Detection (GEBD) tasks aim at detecting generic,
taxonomy-free event boundaries that segment a whole video into chunks. In this
paper, we apply Masked Autoencoders to improve algorithm performance on the
GEBD tasks. Our approach mainly adopted the ensemble of Masked Autoencoders
fine-tuned on the GEBD task as a self-supervised learner with other base
models. Moreover, we also use a semi-supervised pseudo-label method to take
full advantage of the abundant unlabeled Kinetics-400 data while training. In
addition, we …

arxiv challenge cv cvpr detection event