Incorporating additional knowledge into image captioners
Image Captioning (IC) is one of the most important visual reasoning tasks which lies at the intersection of computer vision and natural language processing that requires a machine to generate a fluent caption to correctly describe the given image. Compared with preliminary template/statistic based c...
Autor principal: | Xu, Yang |
---|---|
Outros Autores: | Zhang Hanwang |
Formato: | Thesis-Doctor of Philosophy |
Idioma: | English |
Publicado em: |
Nanyang Technological University
2021
|
Assuntos: | |
Acesso em linha: | https://hdl.handle.net/10356/151726 |
Registros relacionados
-
Neural image and video captioning (NIVC)
por: Lee, Jeremy Kian Kiat
Publicado em: (2022) -
Deep learning-based image captioning
por: Chong, Kaydon
Publicado em: (2019) -
Improved image captioning techniques with comparative study
por: He, Cari
Publicado em: (2021) -
Evaluations of training paradigms in neural image captioning
por: Lee, Si Min
Publicado em: (2019) -
Deconfounded image captioning: a causal retrospect
por: Yang, Xu, et al.
Publicado em: (2022)