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Alexandru Dinu edited this page Dec 18, 2018 · 27 revisions

Welcome to the cae wiki!

These models are inspired from [1].

As input, we have raw 720p images from YouTube-8M dataset (credit goes to gsssrao for the downloader and frames generator scripts). The dataset consists of 121,827 frames.

The images are padded to 1280x768 (i.e. 24,24 height pad), so that they can be split into 60 128x128 patches. The model only gets to see a singular patch at a time; the loss is computed as MSELoss(orig_ij, out_ij) (thus, there are 60 optimization steps per image).

[1] https://arxiv.org/abs/1703.00395

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