Methods › Computer Vision › Image Data Augmentation › Random Grayscale

Random Grayscale

3 papers tagged archive 2025-07-28

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

Random Grayscale is an image data augmentation that converts an image to grayscale with probability p.

Papers archive 2025-07-28

3 shown of 3, 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.

A model is worth tens of thousands of examples
19 Mar 2023 · 0 repositories · arXiv:2303.10608
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method
21 Jan 2021 · 1 repository · arXiv:2101.08533
Momentum Contrast for Unsupervised Visual Representation Learning
13 Nov 2019 · 44 repositories · arXiv:1911.05722

Syntology ran 26 of 42 samples · 16 unverified · 16 pointer-only (licence)

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.

Task	Papers
Adversarial Defense	1
Contrastive Learning	1
Data Augmentation	1
Image Classification	1
Object Detection	1
Person Re-Identification	1
Representation Learning	1
Retrieval	1
Self-Supervised Image Classification	1
Transfer Learning	1
object-detection	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (3 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

Image Data Augmentation

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