YuwenXiong / py-R-FCN

R-FCN with joint training and python support
MIT License
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Is the backbone network never fine-tuned during training? #115

Closed ltqusst closed 6 years ago

ltqusst commented 6 years ago

I saw following lines inside backbone network in rfcn_ohem_train.pt param {lr_mult: 0.0 decay_mult: 0.0}

Does that mean all convolution layers of backbone network never got fine-tuned during R-FCN training?

ltqusst commented 6 years ago

Sorry for my negligence, actually only res1 & res2 layers are fixed during stage 1 RPN train & stage 2 RFCN train, and after that in stage 2 & 3 RPN was fine-tuned with all convolution layers fixed, and that was much more sound.

in the end2end aproximate joint training case, fine-tune is enabled for all layers after res2c of backbone.