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Code does not give satisfactory results in terms of TPR and F1-score in localization. However, the result of detection is satisfactory.
The problem that we found as the reason for lower TPR is improper threshold setting. A proper threshold setting might improve the localization results. We are now working on an adaptive thresholding mechanism that can automatically figure out the optimal threshold from input image itself. This probably can improve the localization performance of the implemented algorithm.
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