Methods › Computer Vision › Image Data Augmentation › Image Scale Augmentation

Image Scale Augmentation

9 papers tagged archive 2025-07-28

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

Image Scale Augmentation is an augmentation technique where we randomly pick the short size of a image within a dimension range. One use case of this augmentation technique is in object detectiont asks.

Papers archive 2025-07-28

9 shown of 9, 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

20 shown of 36 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 Classification7
Image Augmentation5
Object Detection4
Classification3
Data Augmentation3
Data Visualization3
Image Manipulation3
Object3
image-classification3
Detecting Image Manipulation2
Image Cropping2
Image Denoising2
Image Generation2
Image Manipulation Detection2
Image Matting2
Image Morphing2
Image Stitching2
Image-Variation2
Instance Segmentation2
Panoptic Segmentation2

Usage over time archive 2025-07-28

Papers per year tagged with Image Scale Augmentation: 2019 to 2024, peak 3 3 0 2019: 2 papers 2019 2020: 3 papers 2020 2021: 1 paper 2021 2022: 2 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (9 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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