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Decorrelated Batch Normalization

4 papers tagged archive 2025-07-28

Introduced by Lei Huang et al. in Decorrelated Batch Normalization

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Decorrelated Batch Normalization (DBN) is a normalization technique which not just centers and scales activations but whitens them. ZCA whitening instead of PCA whitening is employed since PCA whitening causes a problem called stochastic axis swapping, which is detrimental to learning.

PaperSourceSee Code · bhneo/decorrelated_bn

Papers archive 2025-07-28

4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Disentanglement1
Robust Object Detection1

Usage over time archive 2025-07-28

Papers per year tagged with Decorrelated Batch Normalization: 2018 to 2022, peak 2 2 0 2018: 1 paper 2018 2019: 1 paper 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 2 papers 2022
Papers per year the archive tags with this method, by the paper's archive date (4 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Normalization

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