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TA-Unet: Integrating Triplet Attention Module for Drivable Road Region Segmentation.
Li, Sijia; Sultonov, Furkat; Ye, Qingshan; Bai, Yong; Park, Jun-Hyun; Yang, Chilsig; Song, Minseok; Koo, Sungwoo; Kang, Jae-Mo.
Afiliación
  • Li S; Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Korea.
  • Sultonov F; Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Korea.
  • Ye Q; Department of Information and Communication Engineering, Hainan University, Haikou 570100, China.
  • Bai Y; Department of Information and Communication Engineering, Hainan University, Haikou 570100, China.
  • Park JH; Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Korea.
  • Yang C; METROTECH Co., Ltd., Yeonam Bldg, 6, Yeongdong-daero 118-gil, Gangnam-gu, Seoul 06089, Korea.
  • Song M; METROTECH Co., Ltd., Yeonam Bldg, 6, Yeongdong-daero 118-gil, Gangnam-gu, Seoul 06089, Korea.
  • Koo S; METROTECH Co., Ltd., Yeonam Bldg, 6, Yeongdong-daero 118-gil, Gangnam-gu, Seoul 06089, Korea.
  • Kang JM; Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Korea.
Sensors (Basel) ; 22(12)2022 Jun 12.
Article en En | MEDLINE | ID: mdl-35746220

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducción de Automóvil Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducción de Automóvil Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article