What do each for the following losses mean? (in the TensorFlow Object detection API, while training FasterRCNN based models)
Loss/BoxClassifierLoss/classification_loss/mul_1
Loss/BoxClassifierLoss/localization_loss/mul_1
Loss/RPNLoss/localization_loss/mul_1
Loss/RPNLoss/objectness_loss/mul_1
clone_loss_1
The losses for the Region Proposal Network:
Loss/RPNLoss/localization_loss/mul_1: Localization Loss or the Loss of the Bounding Box regressor for the RPN
Loss/RPNLoss/objectness_loss/mul_1: Loss of the Classifier that classifies if a bounding box is an object of interest or background
The losses for the Final Classifier:
Loss/BoxClassifierLoss/classification_loss/mul_1: Loss for the classification of detected objects into various classes: Cat, Dog, Airplane etc
Loss/BoxClassifierLoss/localization_loss/mul_1: Localization Loss or the Loss of the Bounding Box regressor