Figure 2.

Schematic representation of WS-Count architecture. An image is divided into 4 windows and then further divided into 16 windows. A total of 21 images are passed to the main two networks that are responsible for boll counting. Presence Absence Classifier (PAC) detects the presence of boll in the patch and thus provides a weak supervision for the regression network, whereas the counting network (S-Count) estimates a boll count for that patch with the help of additional fully connected layers. The processing of 21 image patches in parallel makes the individual PAC and S-Count networks multi-branched (MB) and predicts unique output count for each of the 21 patches. The count predictions are kept in accordance with the classifier supervision and the total count loss is optimized through all the image levels.