# Training Loss
train_criterion: "ConfLoss(PointsPlusScaleRegr3D(RobustRegressionLoss(alpha=0.5, scaling_c=0.05), norm_mode='avg_dis', flatten_across_image_only=True, loss_in_log=True), alpha=0.2) + 0.3 * NonAmbiguousMaskLoss(BCELoss())"
# Validation Loss
test_criterion: "ExcludeTopNPercentPixelLoss(PointsPlusScaleRegr3D(RobustRegressionLoss(alpha=0.5, scaling_c=0.05), norm_mode='avg_dis', flatten_across_image_only=True, loss_in_log=True), top_n_percent=5, apply_to_real_data_only=True) + 0.3 * NonAmbiguousMaskLoss(BCELoss())"