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Found 3 papers, 1 papers with code
Multiscale Video Pretraining for Long-Term Activity Forecasting
To alleviate this issue, we propose Multiscale Video Pretraining (MVP), a novel self-supervised pretraining approach that learns robust representations for forecasting by learning to predict contextualized representations of future video clips over multiple timescales.
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video
We introduce an evaluation framework that directly exploits the user's data stream with new metrics to measure the adaptation gain over the population model, online generalization, and hindsight performance.
Convolutional Bipartite Attractor Networks
In human perception and cognition, a fundamental operation that brains perform is interpretation: constructing coherent neural states from noisy, incomplete, and intrinsically ambiguous evidence.
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