Figure 2. Overview of our method.
Wefirsttrainthenetworkinasemi-
supervised manner. During active
learning, for each image, we use
the network to compute the acqui-
sition function and based on it de-
cide if we actively label the image,
if we pseudo-label it, or if we only
use it as part of the unlabeled data
for the next training cycle.