Mehdi Nikkhah

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders

Masked Autoencoders (MAEs) learn generalizable representations for image, text, audio, video, etc., by reconstructing masked input data from tokens of the visible data. Current MAE approaches for videos rely on random patch, tube, or frame based masking strategies to select these tokens. This paper…