CE-BART: Cause-and-Effect BART for Visual Commonsense Generation.

Kim, Junyeong; Hong, Ji Woo; Yoon, Sunjae; Yoo, Chang D

Kim, Junyeong; Hong, Ji Woo; Yoon, Sunjae; Yoo, Chang D.

Afiliación

Kim J; Department of AI, Chung-Ang University, Seoul 06974, Republic of Korea.
Hong JW; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Yoon S; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Yoo CD; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

Sensors (Basel) ; 22(23)2022 Dec 02.

Article en En | MEDLINE | ID: mdl-36502101

Asunto(s)

Lenguaje; Aprendizaje; Humanos

Palabras clave

AVSD; VisualCOMET; deep learning; video-grounded dialogue; visual commonsense generation; visuallanguage reasoning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lenguaje / Aprendizaje Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article Pais de publicación: Suiza

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