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Hello, I found your MCUNet paper interesting and I am writing to ask for information on the hyper-parameters used in the implementation of the models used in the experiments. While I believe that you will eventually provide the training code for MCUNet or ProxylessNas, at least, I would appreciate it if you could let me know what hyper-parameters you used for the MobileNet V2 that was used in the MCUNet experiments. Specifically, I am interested in the following models: MobileNet w0.35-r64 in MCUNet V1 and MobileNet w0.35-r144 in MCUNet V2, as well as MobileNet V2, MobileNetV2-RD, and MobileNetV2 (Non-overlap) in Table 5. It would be great if you could provide the information in fp32.
I am looking forward to a prompt response.
The text was updated successfully, but these errors were encountered:
Thanks @meenchen
I have one more question. For the model labeled as "non-overlap", did you train it separately from scratch or can we achieve the same results by using a pre-trained model?
Hello, I found your MCUNet paper interesting and I am writing to ask for information on the hyper-parameters used in the implementation of the models used in the experiments. While I believe that you will eventually provide the training code for MCUNet or ProxylessNas, at least, I would appreciate it if you could let me know what hyper-parameters you used for the MobileNet V2 that was used in the MCUNet experiments. Specifically, I am interested in the following models: MobileNet w0.35-r64 in MCUNet V1 and MobileNet w0.35-r144 in MCUNet V2, as well as MobileNet V2, MobileNetV2-RD, and MobileNetV2 (Non-overlap) in Table 5. It would be great if you could provide the information in fp32.
I am looking forward to a prompt response.
The text was updated successfully, but these errors were encountered: