About training about cnn_face_detection

[anson0910]

Hi,
You can view as some sort of overfitting, but I think the main reason is because 12-net is too small/shallow to be discriminative, that is why the cascade is needed.
To achieve adequate results during testing using a single net, you would need to adopt a larger/deeper model.

[sparrow0629]

Thanks, by the way, I found you set the thresholds for 12net and 24net are 0.05 and 48net 0.3. It is necessary to set the threshold so small?

[anson0910]

Quoting the original paper :
"We then apply a 2-stage cascade consists of the 12-net and 12-calibration-net on a subset of the AFLW images to choose a threshold T 1 at 99% recall rate. Then we densely scan all background images with the 2- stage cascade. All detection windows with confidence score larger than T 1 become the negative training samples for the 24-net."

Basically, if you wish to have higher recall but do not care about precision, then the lower the better!