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Vision"],"sub_categories":["CRU-Net","2.1 Image Classification"],"readme":"# Collective Residual Networks\nThis repository contains the code and trained models of \"Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks\".\n\n## Implementation\n\n### Augmentation\n\n| Method         |  Settings  |\n| :------------- | :--------: |\n| Random Mirror  |    True    |\n| Random Crop    |  8% - 100% |\n| Aspect Ratio   |  3/4 - 4/3 |\n| Random HSL     | [20,40,50] |\n\n\u003e Note: \n\u003e We did not use PCA Lighting and any other advanced augmentation methods.\n\n### Normalization\n\nThe augmented input images are substrated by mean RGB = [ 124, 117, 104 ], and then multiplied by 0.0167.\n\n\n## Results\n\n### ImageNet-1k\n\n**Single crop validation error (center 224x224 crop from resized image with shorter side=256):**\n\nModel|Setting|Model Size|Top-1\n:-----|------:|---------:|:---:\nCRU-Net-56 @x14|32x4d|98MB|21.9%\nCRU-Net-56 @x14|136x1d|98MB|21.7%\nCRU-Net-116 @x28x14|32x4d|168MB|20.6%\nCRU-Net-116, wider @x28x14|64x4d|318MB|20.3%\n\nWe also trained a tiny CRU-Net-56 with less than half the size of ResNet-50.\n\n**Single crop validation error (center 224x224 crop from resized image with shorter side=256):**\n\nModel|Setting|Model Size|Top-1\n:-----|------:|---------:|:---:\nCRU-Net-56,tiny @x14|32x4d|48MB|22.9%\n\n\n### Places365-Standard\n\n**10-crop validation accuracy (averaging softmax scores of 10 224x224 crops from resized image with shorter side=256):**\n\nModel|Setting|Model Size|Top-1\n:----|------:|---------:|:---:\nCRU-Net-116 @x28x14|32x4d|163MB|56.6%\n\n\n\n## Trained Models\n\nModel|Setting|Dataset| Link\n:----|------:|:------:|:---:\nCRU-Net-56,tiny @x14|32x4d|ImageNet-1k|[GoogleDrive](https://goo.gl/oTG7HJ)\nCRU-Net-56 @x14|32x4d|ImageNet-1k|[GoogleDrive](https://goo.gl/AD8Bs0)\nCRU-Net-56 @x14|136x1d|ImageNet-1k|[GoogleDrive](https://goo.gl/PEY8al)\nCRU-Net-116 @x28x14|32x4d|ImageNet-1k|[GoogleDrive](https://goo.gl/OFyIaD)\nCRU-Net-116 @x28x14|32x4d|Places365-Standard|[GoogleDrive](https://goo.gl/6gglTz)\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcypw%2FCRU-Net","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcypw%2FCRU-Net","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcypw%2FCRU-Net/lists"}