BWhat changed
Wu and He introduced group normalization, computing mean and variance across spatial positions and groups of channels within each example, enabling visual-network normalization without batch statistics.
Scientific scope
Wu and He introduced group normalization, computing mean and variance across spatial positions and groups of channels within each example, enabling visual-network normalization without batch statistics. Normalization groups channels within each example under a chosen group count and architecture. It avoids batch-statistics dependence but does not give a universal invariance, convergence or quality guarantee. Extreme group counts connect to different normalization cases, and empirical results depend on task/training settings. WRS has not independently replayed the benchmarks.
Evidence
Source-linked, scoped account of the original work. The published scope states the scientific assumptions and remaining verification limits. WRS has not independently certified the full proof, experimental result or system benchmark.
Contributors
- Yuxin Wu · SCIENCE: Original source-listed scientific author of this scoped work; byline does not determine effort fractions.
- Kaiming He · SCIENCE: Original source-listed scientific author of this scoped work; byline does not determine effort fractions.
- Wuand He, Group Normalization, exact 2018 ar Xiv 1803.08494 v 3
- Wuand He, Group Normalization, exact 2018 ar Xiv 1803.08494 v 3 repositoryidentity
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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