PyTorch Community Voices | Pytorch Monogenic ConvNet Layer | Ulises & Abraham

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Published at : October 04, 2021
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Join us for an interview with star PyTorch community members Ulises Moya Sánchez and Abraham Sánchez of Gobierno de Jalisco to discuss their work on a Pytorch Monogenic ConvNet Layer. This layer draws inspiration from a mammal’s primary visual area and allows standard convolutional neural networks to accurately train on images that may be degraded by brightness or contrast changes.

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Poster: https://assets.pytorch.org/pted2021/posters/B7.png
Paper: https://arxiv.org/abs/2109.06926
Github: https://gitlab.com/ab.sanchezperez/pytorch-monogenic

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Ulises Moya Sánchez: https://twitter.com/UlisesMoya12
Ulises Cortés: https://twitter.com/ulisescortes
Suraj Subramanian: https://twitter.com/subramen
Jessica Lin: https://twitter.com/hey_its_jlin

PyTorch: https://twitter.com/PyTorch
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