Cheatomaly: weakly supervised video anomaly ranking for exam cheating detection using vision transformers
Detecting cheating in classroom examinations is challenging because suspicious behaviors are often subtle, temporally sparse, and context-dependent. To address the lack of dedicated benchmarks for this setting, we introduce Cheatomaly, a curated video dataset assembled from publicly available classr...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2026-05-01
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| Colecção: | Frontiers in Big Data |
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| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fdata.2026.1817120/full |
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