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Thank you for your efforts, but I still doubt about the performance you reported since the Colab code uses ResNet-34 but your paper achieved the performance with ResNet32.
ResNet 34 has far different from ResNet 32 in the perspective of internal channel. ResNet 32 uses 3 stage with internal channel 16, 32, 64. and final fully connected layer uses only 64-dim feature.
ResNet 34 uses 512-dim feature with very large internal channels begins from 64.
Not just piling up 2 layers, they have such a big difference. But you only suggested ResNet34, which has huge parameters. But you reported you used ResNet 32 for CIFAR 100-LT to achieve the performance.
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