Training pipeline

[JakubReha]

Hi, I don't understand the SETUP instructions completely, especially this sentence: for accurate prediction, please pre-train noise stream's vgg weights on ImageNet and overwrite the trainable setting of noise stream after SRM conv layer. Does it mean, that first I train only the noise stream on ImageNet by setting trainable = False for the RGB stream, and after this I train both streams on the PASCAL VOC dataset together? Could someone explain the overall pipeline to me?