A trajectory-attention token sampler trained jointly with a masked video autoencoder via PPO improves downstream action recognition accuracy over random- and activity-based masking baselines.
Beit: Bert pre-training of image transformers
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Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection
A trajectory-attention token sampler trained jointly with a masked video autoencoder via PPO improves downstream action recognition accuracy over random- and activity-based masking baselines.