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21_dec_2016
Pau Rodriguez edited this page Dec 21, 2016
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@edgarriba: How do they calculate the confidence for each detected face?
The the predicted heatmap at a pixel position (x, y) specifies the confidence of a fixed size detection centered at (x, y).
@gitabcworld: At the general arquitecture schema (Figure 9), they train first a FCN to calculate the initial heatmap with only 40-140 bounding box faces (which corresponds to 1x scale). Afterwards they train 3 differents CNN starting from this shared initial FCN? or do they use only a unique FCN?
They use only a unique FCN. However, during the training it recieve images of different scales.
@prlz77: How to interpret figure 10? Is a template a fine-tuned CNN?