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WideResNet architecture #49
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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: |
Would like to work on this. |
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 ? |
Any update on this feature? cc @blackhat-coder |
Hi @innat, This feature proposal wasn't accepted, however I can still work on implementing this architecture. |
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. ) |
Can you assign this to me as well? :) |
Thanks! |
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) |
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! |
Lets deprioritize this until theres a strong use case; and focus on migrating the existing backbones! |
* add base merge layer * format docstrings * add layer * add test cases for layer * Add import for layer * fix build function * add dynamic and static tests * fix pytest import * fix pytest decorator * remove batch size from dynamic shape test * fix keras reference * refactor test class * fix tf tests, and linting issues
Best resnet for Cifar10/Cifar100
https://arxiv.org/abs/1605.07146
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