A collection of verified code in different frameworks, that reproduces several experiment results in the paper:
- Group Normalization - Best Paper Honorable Mention at ECCV 2018.
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Object Detection with Mask R-CNN, in Caffe2, with models. Official models for the paper.
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ImageNet Classification with ResNet-50, in TensorFlow, with models. Exactly reproduce.
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ImageNet Classification with ResNet-50, in PyTorch, with models. 0.1% different result due to fewer augmentations.
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ImageNet Classification with VGG-16, in TensorFlow. Exactly reproduce.
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Object Detection with Mask R-CNN, in TensorFlow, with models. Slighly better results due to different implementation of Mask R-CNN framework.
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Object Detection with Mask R-CNN, in PyTorch, with models. Slighly better results due to different implementation of Mask R-CNN framework.
- PyTorch: Implemented in C++,
and available as a layer via
torch.nn.GroupNorm. - TensorFlow: Python implementation.
- Caffe2: Implemented in C++,
available in Python via
brew.spatial_gn.