Open Keysmis opened 4 years ago
We need the pre-trained weights as the initialization of GCN. These values are used for controlling the initialization.
and what process method for the label is 999?
and the variable self.weight is how to get it? is it get from the annotated labels by computing the overall positive/negative of each AU?
For unlabeled data, I just ignore them and do not back pass the loss. For self.weight, do you mean the adjacent map for GCN? I calculate the map based on the whole database.
@nxsEdson Thanks for your great work!, yeah, i already compute that weight in whole dataset, but i have another question......, i couldn't found the variable of self.select_sample in computing the JS dis... , what does that mean? and the weights of BCE_sigmoid_negtive_bias_all loss function, is it compute the pos/neg ratio in whole dataset?
I'm wondering what the three values mean? Is_begin_weight,begin_weight1,begin_weight2 thx~