Automatic Recognition of Giant Panda Attributes from Their Vocalizations Based on Squeeze-and-Excitation Network.

Zhao, Qijun; Zhang, Yanqiu; Hou, Rong; He, Mengnan; Liu, Peng; Xu, Ping; Zhang, Zhihe; Chen, Peng

Zhao, Qijun; Zhang, Yanqiu; Hou, Rong; He, Mengnan; Liu, Peng; Xu, Ping; Zhang, Zhihe; Chen, Peng.

Afiliação

Zhao Q; National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China.
Zhang Y; College of Computer Science, Sichuan University, Chengdu 610065, China.
Hou R; National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China.
He M; Chengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu 610086, China.
Liu P; Chengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu 610086, China.
Xu P; Sichuan Academy of Giant Panda, Chengdu 610086, China.
Zhang Z; Chengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu 610086, China.
Chen P; Sichuan Academy of Giant Panda, Chengdu 610086, China.

Sensors (Basel) ; 22(20)2022 Oct 20.

Article em En | MEDLINE | ID: mdl-36298365

Assuntos

Ursidae; Animais

Palavras-chave

SENet; attribute recognition; bioacoustics; deep learning; giant panda; species conservation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ursidae Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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