Vasilis Vryniotis
Vasilis Vryniotis
@stwinata DETR sounds a good addition to me. Since @fmassa is one of the main authors, I will let him have the final say on this. Contributing models is tricky...
@stwinata Thanks for the comments. I think we agree. Below I write few thoughts on the **potential** process we could adopt. The minimum to merge such a contribution is: 1....
@xiaohu2015 Nice work, have you managed to reproduce the accuracies of the paper? @fmassa Any thoughts on FCOS?
@Rusteam Thanks for the proposal. Our [Model contribution](https://github.com/pytorch/vision/blob/main/CONTRIBUTING_MODELS.md) guidelines are still a work in progress. One of the things we need to figure out is how do we deal with...
@oke-aditya Do we need the cutout given we have Random Erasing which can be configured to have the same more or less effect?
Not at all intended; Github just closed it when I merged the PR. We are certainly not done here :D
@lezwon Thanks a lot for offering to help! ReMixMatch focuses on learning augmentations and on using unlabelled data. One challenge with that is that the majority of the changes will...
@lezwon Fantastic! Just note that I'm talking about this version designed for detection: [AutoAugment Detection](https://arxiv.org/pdf/1906.11172.pdf). This is different from the already supported algorithm for classification. :)
@ain-soph The Fast* AutoAugment methods are indeed on our radar. We should examine adding them after the work on the new Transforms API is complete. Let me explain why it's...
@puhuk absolutely, thanks for offering to help. Looking forward to your PR.