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Found 3 papers, 2 papers with code
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Graph Neural Networks are perfectly suited to capture latent interactions between various entities in the spatio-temporal domain (e. g. videos).
Recurrent Space-time Graph Neural Networks
Our model is general and could learn to recognize a variety of high level spatio-temporal concepts and be applied to different learning tasks.
Ranked #58 on
Action Recognition
on Something-Something V1
(using extra training data)
Mining for meaning: from vision to language through multiple networks consensus
Here we propose an approach to describe videos in natural language by reaching a consensus among multiple encoder-decoder networks.
