Region Mixup
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916407062560768 |
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| author | Saha, Saptarshi Garain, Utpal |
| author_facet | Saha, Saptarshi Garain, Utpal |
| contents | This paper introduces a simple extension of mixup (Zhang et al., 2018) data augmentation to enhance generalization in visual recognition tasks. Unlike the vanilla mixup method, which blends entire images, our approach focuses on combining regions from multiple images. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_15028 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Region Mixup Saha, Saptarshi Garain, Utpal Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning I.2.10 This paper introduces a simple extension of mixup (Zhang et al., 2018) data augmentation to enhance generalization in visual recognition tasks. Unlike the vanilla mixup method, which blends entire images, our approach focuses on combining regions from multiple images. |
| title | Region Mixup |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning I.2.10 |
| url | https://arxiv.org/abs/2409.15028 |