Hello, you mentioned in the readme for the folder of FERStuff that...
"The training prototxt that I used in the facial expression recognition. Note that the main body of the net is pretrained by a conventional FER task on the unition of RAF and AffectNet."
...but no caffemodel file for FER was included in the repo (and I don't think this was mentioned in the paper as well). Am I correct in my understanding that to achieve the mentioned accuracies in the paper, you
1.) pretrained the ResNet80 architecture first with the combined datasets RAF and AffectNet
2.) trained LTNet (with ResNet80 as base) with the multiple annotated data?
Hello, you mentioned in the readme for the folder of FERStuff that...
"The training prototxt that I used in the facial expression recognition. Note that the main body of the net is pretrained by a conventional FER task on the unition of RAF and AffectNet."
...but no caffemodel file for FER was included in the repo (and I don't think this was mentioned in the paper as well). Am I correct in my understanding that to achieve the mentioned accuracies in the paper, you
1.) pretrained the ResNet80 architecture first with the combined datasets RAF and AffectNet
2.) trained LTNet (with ResNet80 as base) with the multiple annotated data?