WideResNet architecture about keras-cv HOT 12 CLOSED

Do you mean, didn't accept in GSoC? If so, I don't think it's required to pass things in GSoC in order to be eligible to include in KerasCV. ( WideResNet is widely used with over 5288 citations. )

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You could take a look at this with SAM or in the resnet family at @leondgarse https://github.com/leondgarse/keras_cv_attention_models#resmlp

See also:
https://paperswithcode.com/sota/image-classification-on-cifar-100

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Would like to work on this.

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Hi @LukeWood ,I would love to implement WideResNet duing GSoC. I'm currently drafting my proposal and would love to know if I could implement this during GSoC ?

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Any update on this feature? cc @blackhat-coder

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Hi @innat, This feature proposal wasn't accepted, however I can still work on implementing this architecture.

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Can you assign this to me as well? :)

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Thanks!

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Small update, got to this last night, and I'm almost done (I think). Just gotta tweak a few things and test it thoroughly on different setups (they have a few listed in the paper)

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Seems to be done, just waiting for the training to finish to validate whether it behaves the same as in the paper. Sending the pull request in a few hours!

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Lets deprioritize this until theres a strong use case; and focus on migrating the existing backbones!

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@LukeWood this network is cited by 6776 times, here is the pwc report.

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