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The Laplacian Aleatoric Uncertainty Loss accounts for uncertainty in the predictions. The idea is to weigh the loss based on the predicted uncertainty (represented by log_variance).
However, the loss is going negative, is it normal or have the author observed this behavior of the depth loss?
The text was updated successfully, but these errors were encountered:
The Laplacian Aleatoric Uncertainty Loss accounts for uncertainty in the predictions. The idea is to weigh the loss based on the predicted uncertainty (represented by log_variance).
However, the loss is going negative, is it normal or have the author observed this behavior of the depth loss?
The text was updated successfully, but these errors were encountered: