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The target for each stage is the ground truth localization, the loss function calculates the loss between ground truth localization and predicted localization of the corresponding stage. For stage t, we regress the center localization residual based on the previous stage prediction, so the predicted localization is the sum of the initial center localization and a stack of residual localization from t stages, which can be described in Equation 4 in our paper. Besides, the implementation can be seen in lib/models/patchnet_pct.py and lib/losses/patchnet_loss.py.
How to construct the location loss function?
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