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README.md

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 ---
 license: mit
 ---
+
+# R2O PyTorch
+
+PyTorch implementation of R2O from ["Refine and Represent: Region-to-Object Representation Learning"](https://arxiv.org/abs/2208.11821) (Gokul et al., 2022).
+
+## Pretrained Weights
+
+We provide R2O ResNet-50 weights pretrained on ImageNet-1K for 300 epochs:
+
+| Format      | Download                                                                                           | Use Case        |
+|-------------|----------------------------------------------------------------------------------------------------|-----------------|
+| Original    | r2o_resnet50_imagenet300.pth | Direct loading  |
+| Torchvision | r2o_resnet50_imagenet300_torchvision.pth | MMSegmentation  |
+| Detectron2  | r2o_resnet50_imagenet300_d2.pkl | Detectron2      |
+
+## Usage
+
+See [GitHub](https://github.com/KKallidromitis/r2o) repo for how to use weights.

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r2o_imagenet_300_d2.pkl

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