GaussianMix: Rethinking Receptive Field for Efficient Data Augmentation
Mixed Sample Data Augmentation (MSDA) enhances deep learning model generalization by blending a source patch into a target image. Selecting source patches based on image saliency helps to prevent label errors and irrelevant content; however, it relies on computationally expensive saliency detection...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/4704 |
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