Has anyone tried to train a binary-weight/activation model of SqueezeNet? I'm trying to do so with XNOR-Net, but I can't get past 30% top-1 accuracy with binary weights only and 24% top-1 accuracy with binary weights and binary activations. I was expecting top-1 accuracies similar to binarized AlexNet (~50% with binary weights, ~40% with binary weights and binary activations, respectively).
Hi,
Has anyone tried to train a binary-weight/activation model of SqueezeNet? I'm trying to do so with XNOR-Net, but I can't get past 30% top-1 accuracy with binary weights only and 24% top-1 accuracy with binary weights and binary activations. I was expecting top-1 accuracies similar to binarized AlexNet (~50% with binary weights, ~40% with binary weights and binary activations, respectively).
Help is highly appreciated.
Thanks, Alex