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Found 3 papers, 3 papers with code
The Functional Neural Process
We present a new family of exchangeable stochastic processes, the Functional Neural Processes (FNPs).
Video BagNet: short temporal receptive fields increase robustness in long-term action recognition
Previous work on long-term video action recognition relies on deep 3D-convolutional models that have a large temporal receptive field (RF).
Are current long-term video understanding datasets long-term?
In the current deep learning paradigm for automatic action recognition, it is imperative that models are trained and tested on datasets and tasks that evaluate if such models actually learn and reason over long-term information.
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