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A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling
Given the features of a video, recurrent neural networks can be used to automatically generate a caption for the video. Existing methods for video captioning have at least three limitations. First, semantic information has been widely applied to boost the performance of video captioning models, but...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805957/ https://www.ncbi.nlm.nih.gov/pubmed/33501293 http://dx.doi.org/10.3389/frobt.2020.475767 |