Hello,
I got through your both paper you have listed on read me as well as both code in tensorflow and pytorch. For Auto Context you need multiple GAN model during training but i haven't seen such type of training loop in your codes. If one have to write custom code for ACM and take this as references,can you suggest how to write training loop for ACM ? if possible can you upload your code ? I want to try to replicate your experiment on my RIRE datasets.
Thank you
Best Regards.
Thank you for your interest in our work. For ACM, you can directly use the network, you just need to change the input channel which includes extra synthetic target modality.
Hello, I got through your both paper you have listed on read me as well as both code in tensorflow and pytorch. For Auto Context you need multiple GAN model during training but i haven't seen such type of training loop in your codes. If one have to write custom code for ACM and take this as references,can you suggest how to write training loop for ACM ? if possible can you upload your code ? I want to try to replicate your experiment on my RIRE datasets. Thank you Best Regards.