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[D] State of the art in video action recognition using transfer learning?

I am working on a project which requires action recognition in videos, specifically short ~10 second YouTube clips. Ideally I want to start with a pre-trained network which can be fine-tuned so as to avoid training cost.

AFAIK the SOTA is widely accepted as DeepMind’s I3D, for which pre-trained checkpoint models exist. Are there any interesting papers which challenge this approach, specifically those which can also use a pre-training approach?

submitted by /u/lantern_lol
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.