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Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network) with Caffe

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ResNeXt

Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network)

Results

  1. 1-crop validation error on ImageNet (center 224x224 crop from resized image with shorter side=256):

    model top-1 top-5
    VGG-16 28.5% 9.9%
    ResNet-50 24.7% 7.8%
    ResNeXt-50 23.1% 6.7%
    ResNet-101 23.6% 7.1%
    ResNeXt-101(32x4d) 22.1% 5.8%
    ResNet-152 23.0% 6.7%
    ResNeXt-152 21.3% 5.6%
    ResNeXt-101(64x4d) 20.8% 5.5%
  2. 1-crop validation error on ImageNet (center 320x320 crop from resized image with shorter side=320):

Network crop-size top-1 top-5
ResNet-152-v1 320x320 21.3% 5.5%
ResNet-152-v2 320x320 21.1% 5.5%
ResNet-200-v1 320x320 21.8% 6.0%
ResNet-200-v2 320x320 20.7% 5.3%
ResNeXt-50 320x320 21.9% 5.9%
ResNeXt-101(32x4d) 320x320 20.2% 4.9%
ResNeXt-152 320x320 19.9% 4.8%
ResNeXt-101(64x4d) 320x320 19.5% 4.8%

Training Curve:

Model files:

ResNeXt-50 OneDrive download: link

ResNeXt-101 OneDrive download: link

ResNeXt-152 OneDrive download: link

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Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network) with Caffe

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