Unverified50% confidenceFactExact time
Domain shift refers to the situation where the test data distribution differs from the training data distribution.
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Long-term
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10/30/2026
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VerifiedDistribution shift refers to the statistical distribution difference between the training environment and the deployment environment, and is the direct mechanism by which spurious correlations cause performance collapse.79% similarVerifiedThe training data of detection models perpetually lags behind the output distribution of the latest generation technology, a problem referred to in academia as "distribution shift."79% similarUnverified当目标数据域与源数据域差异悬殊时，预训练权重可能产生负迁移（Negative Transfer），反而干扰目标域的学习79% similarVerifiedData Drift refers to the continuous degradation of model performance without any errors when the statistical properties of real online data deviate from the training set.78% similarUnverifiedPerforming StandardScaler normalization on the entire dataset before the train/test split causes the mean and variance information of the test set to leak into the training set, constituting data leakage.78% similar
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