RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations

RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations

Deep learning models learn powerful representational spaces required for handling complex tasks. Recently, data augmentation techniques, region-level, and image-level augmentation have proved effective in significantly improving deep learning models’ generalization performance. Neverthele...

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Bibliographic Details
Main Authors: Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Classification
data augmentation
deep learning
image processing
supervised learning
Online Access:https://ieeexplore.ieee.org/document/10217802/

Internet

https://ieeexplore.ieee.org/document/10217802/

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