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Hello, i suppose you have some bug in your table. There is 74.29% accuracy, 179.46 MFLOPs and 2.33 MParameters for MobileNetV2 baseline, but according to pytorch-cifar-models repo there is accuracy and parameters for MobileNetV2_1.0, but FLOPs for MobileNetV2_x1_4. And your compressed model have 111.96 FLOPs. This is bigger than original mobilenetv2_x1_0 baseline. Can you comment this situation, or fix your table?
The text was updated successfully, but these errors were encountered:
Hello, i suppose you have some bug in your table. There is 74.29% accuracy, 179.46 MFLOPs and 2.33 MParameters for MobileNetV2 baseline, but according to pytorch-cifar-models repo there is accuracy and parameters for MobileNetV2_1.0, but FLOPs for MobileNetV2_x1_4. And your compressed model have 111.96 FLOPs. This is bigger than original mobilenetv2_x1_0 baseline. Can you comment this situation, or fix your table?
The text was updated successfully, but these errors were encountered: