Deep Learning for Videos: A 2018 Guide to Action Recognition
Medical images like MRIs, CTs (3D images) are very similar to videos - both of them encode 2D spatial information over a 3rd dimension. Much like diagnosing abnormalities from 3D images, action recognition from videos would require capturing context from entire video rather than just capturing information from each frame. Fig 1: Left: Example Head CT scan. Right: Example video from a action recogn
Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, making major progress in key domains such as vision, language, control, and decision-making. This has been due, in part, to cheap data and cheap compute resources, which have fit the natural strengths of deep learning. However, many defining characteristics of human intelligence, which developed under much different pressures, rema
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