@sebastian-sz would you be interested in the following?

  

      github.com/keras-team/keras
  

  
    
  
	  
  

  
    
      Updating the ResNet-* weights 5
    

    
      
        opened 
        
          
        
        Dec 12, 2021
      
      


      
        
          
          sayakpaul
        
      
    

    
        
          type:feature
        
        
          Contributions welcome
        
    
  


  
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**System information**.

TensorFlow version (you are using): 2.7.0
Are you willing to contribute it (Yes/No) : Currently no

**Describe the feature and the current behavior/state**.

ResNets are arguably one of the most influential architectures in deep learning. Today, they are used in different capacities. For example, sometimes they act as strong baselines, sometimes they are used as backbones. Since their inception, their performance on ImageNet-1k, in particular, has improved quite a lot. I think it's time the ResNets under `tf.keras.applications` were updated to facilitate these changes. 

**Will this change the current api? How?**

ResNet-RS (https://arxiv.org/abs/2103.07579) introduces slight architectural changes to the vanilla ResNet architecture (https://arxiv.org/abs/1512.03385). So, yes, there will be changes to the current implementation of ResNets (among other things) we have under `tf.keras.applications`. We could call it `tf.keras.applications.ResNet50RS`, for example. Following summarizes the performance benefits that ResNet-RS introduces to the final ImageNet-1k performance (measured on the `val` set):

![image](https://user-images.githubusercontent.com/22957388/145714574-b057a95e-4d6c-48ba-b7ea-67e953e83f29.png)

<sub><a href=https://github.com/tensorflow/tpu/tree/master/models/official/resnet/resnet_rs#imagenet-checkpoints>Source</a></sub>


**Who will benefit from this feature?**

Keras users that use ResNets from `tf.keras.applications` for building downstream applications. 


**[Contributing](https://github.com/keras-team/keras/blob/master/CONTRIBUTING.md)**

- Do you want to contribute a PR? (yes/no): Currently no
- If yes, please read [this page](https://github.com/keras-team/keras/blob/master/CONTRIBUTING.md) for instructions
- Briefly describe your candidate solution(if contributing):