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Object-stable unsupervised dual contrastive learning image-to-image translation with query-selected attention and convolutional block attention module.
Oh, Yunseok; Oh, Seonhye; Noh, Sangwoo; Kim, Hangyu; Seo, Hyeon.
Afiliação
  • Oh Y; Department of AI Convergence Engineering, Gyeongsang National University, Jinju-si, Gyeongsangnam-do, Republic of Korea.
  • Oh S; Precedent Study Team for C4ISR Systems, Korea Research Institute for Defense Technology Planning and Advancement, Jinju-si, Gyeongsangnam-do, Republic of Korea.
  • Noh S; Department of AI Convergence Engineering, Gyeongsang National University, Jinju-si, Gyeongsangnam-do, Republic of Korea.
  • Kim H; Guided & Firepower Systems Technology Planning Team, Korea Research Institute for Defense Technology Planning and Advancement, Jinju-si, Gyeongsangnam-do, Republic of Korea.
  • Seo H; C4ISR Systems Technology Planning Team, Korea Research Institute for Defense Technology Planning and Advancement, Jinju-si, Gyeongsangnam-do, Republic of Korea.
PLoS One ; 18(11): e0293885, 2023.
Article em En | MEDLINE | ID: mdl-37930987

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizagem Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizagem Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article