Vision: Add Inception V2, Inception V4, Inception Resnet V2 in models

Created on 7 May 2018  路  6Comments  路  Source: pytorch/vision

Why not add Inception V2, Inception V4, Inception Resnet V2 in models锛燂紵

enhancement help wanted

Most helpful comment

Contributions are welcome!
Ideally, we would like the models to be trained on PyTorch using the examples/imagenet script.

All 6 comments

I'd love to give this a shot! Is anybody already working on this?

@VibAltekar do go through the discussion here if you want to add a new model: https://github.com/pytorch/vision/issues/321#issuecomment-341820560

Contributions are welcome!
Ideally, we would like the models to be trained on PyTorch using the examples/imagenet script.

We are working on developing the models for pytorch. we will make a pull request when done. Is there a need for pre-trained weights as well for such networks? if so which datasets? CIFAR-10? CIFAR-100?

It's very kind of you to do such work. I think the pretrained weights on imagenet is needed,too. @setuc

This may be partially addressed by Add inceptionv4 pretrained model https://github.com/pytorch/vision/pull/43/

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