[D] Problems with proprietary datasets

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  • DALLE2-pytorch

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

    Now is it possible that some of these images were a part of train set of these models ? Maybe, but we can't really be sure without having access to the original dataset. To this end, are there any works that study this phenomenon more deeply and technically (with metrics etc.) ? I know few attempts to reproduce DALL-E and CLIP on open datasets but not sure whether such studies have been performed. Unfortunately I lack both the resources as well as technical competency to perform such studies myself but would love to see if you folks know anything about this.

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  • x-clip

    A concise but complete implementation of CLIP with various experimental improvements from recent papers

    Now is it possible that some of these images were a part of train set of these models ? Maybe, but we can't really be sure without having access to the original dataset. To this end, are there any works that study this phenomenon more deeply and technically (with metrics etc.) ? I know few attempts to reproduce DALL-E and CLIP on open datasets but not sure whether such studies have been performed. Unfortunately I lack both the resources as well as technical competency to perform such studies myself but would love to see if you folks know anything about this.

  • ViTs-vs-CNNs

    [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

  • IPViT

    Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)

    Code for https://arxiv.org/abs/2105.10497 found: https://github.com/Muzammal-Naseer/Intriguing-Properties-of-Vision-Transformers

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