1. Report 7
Brandon Silva

2. Updates
Network is training on UAV and producing promising results (512 x 512 input)
Multiplied outputs and target by a constant factor before passing through to MSE loss function helps overcome the loss just dropping to zero
Same learning rate from paper worked best for training, lower learning rates trains very slowly
Gaussian Heatmaps fixed, using method from the paper with help of Waqas
Model is not learning from WPAFB
Pretty sure ClusterNet network is needed as the labels are too sparse for FoveaNet to train on
FoveaNet Examples: Labels I used:

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11. Next Week
Analyze current model and find where a new method could help improved results
Start thinking about tracking method for the UAVs