[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
I 'm an engineer from NXP. I'm very interested in your incredible work.
I'd read your paper "On-Device Training Under 256KB Memory", we want to reproduce your works on our platforms.
but I can't find where to training the quantized model on custom dataset.
I checked the mucnet repo, it only contains the model zoo, I can't find the training scripts
I also checked the once-for-all repo, but it seems not support tiny subnet yet.
Hello
I 'm an engineer from NXP. I'm very interested in your incredible work. I'd read your paper "On-Device Training Under 256KB Memory", we want to reproduce your works on our platforms. but I can't find where to training the quantized model on custom dataset. I checked the mucnet repo, it only contains the model zoo, I can't find the training scripts I also checked the once-for-all repo, but it seems not support tiny subnet yet.
BR Tony