Methods › Computer Vision › Image Data Augmentation › CutMix

CutMix

208 papers tagged archive 2025-07-28

Introduced by Sangdoo Yun et al. in CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

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

CutMix is an image data augmentation strategy. Instead of simply removing pixels as in Cutout, we replace the removed regions with a patch from another image. The ground truth labels are also mixed proportionally to the number of pixels of combined images. The added patches further enhance localization ability by requiring the model to identify the object from a partial view.

PaperSource

Papers archive 2025-07-28

30 shown of 208, 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 205 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
Object Detection69
object-detection66
Data Augmentation63
Object30
Image Classification28
Semantic Segmentation25
image-classification20
Segmentation14
Classification9
Real-Time Object Detection9
Deep Learning8
GPU8
Instance Segmentation8
Knowledge Distillation8
Semi-Supervised Semantic Segmentation8
Transfer Learning8
Contrastive Learning7
General Classification7
Autonomous Driving6
Image Segmentation6

Usage over time archive 2025-07-28

Papers per year tagged with CutMix: 2016 to 2025, peak 56 56 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 2 papers 2019 2020: 35 papers 2020 2021: 43 papers 2021 2022: 56 papers 2022 2023: 34 papers 2023 2024: 22 papers 2024 2025: 15 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (208 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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