Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment
While pre-training large-scale video-language models (VLMs) has shown remarkable potential for various downstream video-language tasks, existing VLMs can still suffer from certain commonly seen limitations, e.g., coarse-grained cross-modal aligning, under-modeling of temporal dynamics, detached vide...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 25. Dez., Seite 7701-7719
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| Auteur principal: |
Fei, Hao
(Auteur) |
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| Autres auteurs: |
Wu, Shengqiong,
Zhang, Meishan,
Zhang, Min,
Chua, Tat-Seng,
Yan, Shuicheng |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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