SFOD-Trans: semi-supervised fine-grained object detection framework with transformer module.

Liu, Quankai; Zhang, Guangyuan; Li, Kefeng; Zhou, Fengyu; Yu, Dexin

Liu, Quankai; Zhang, Guangyuan; Li, Kefeng; Zhou, Fengyu; Yu, Dexin.

Afiliação

Liu Q; School of Information Science and Electric Engineering, Shandong Jiaotong University, Jinan, 250357, China.
Zhang G; School of Information Science and Electric Engineering, Shandong Jiaotong University, Jinan, 250357, China.
Li K; School of Information Science and Electric Engineering, Shandong Jiaotong University, Jinan, 250357, China. seafrog1984@hotmail.com.
Zhou F; School of Control Science and Engineering, Shandong University, Jinan, China.
Yu D; Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250000, People's Republic of China.

Med Biol Eng Comput ; 60(12): 3555-3566, 2022 Dec.

Article em En | MEDLINE | ID: mdl-36251131

Assuntos

Algoritmos; Aprendizado de Máquina Supervisionado

Palavras-chave

Object detection; Semi-supervised learning; Transformer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Aprendizado de Máquina Supervisionado Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Med Biol Eng Comput Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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