Methods › Computer Vision › Whitening › ZCA Whitening

ZCA Whitening

10 papers tagged archive 2025-07-28

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

ZCA Whitening is an image preprocessing method that leads to a transformation of data such that the covariance matrix Σ is the identity matrix, leading to decorrelated features.

Image Source: Alex Krizhevsky

Papers archive 2025-07-28

10 shown of 10, 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

11 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
Image Classification2
image-classification2
Classification1
Code Search1
Disentanglement1
General Classification1
Recommendation Systems1
Robust Object Detection1
Self-Supervised Learning1
imbalanced classification1
regression1

Usage over time archive 2025-07-28

Papers per year tagged with ZCA Whitening: 2017 to 2024, peak 3 3 0 2017: 1 paper 2017 2018: 1 paper 2018 2019: 1 paper 2019 2020: 1 paper 2020 2021: 0 papers 2021 2022: 2 papers 2022 2023: 1 paper 2023 2024: 3 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (10 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

Whitening

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections