AdAPT: Advertisement detector adaptation under newspaper domain shift with null-based pseudo-labeling
Detecting advertisements in digitized newspapers is a key step in large-scale media analytics and digital archiving. However, variations in layout, typography, and advertisement design across publishers and time periods cause significant domain shifts that reduce the generalization ability of superv...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2026-03-01
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| Серии: | Machine Learning with Applications |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2666827025001896 |
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