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Connection Science Volume 34, 2022 - Issue 1
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Few shot object detection for headdresses and seats in Thangka Yidam based on ResNet and deformable convolution

Hu Wenjina Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, People’s Republic of China;b School of Mathematics and Computer Science, Northwest Minzu Univsersity, Lanzhou, People’s Republic of ChinaView further author information
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Xue Panpana Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, People’s Republic of China;b School of Mathematics and Computer Science, Northwest Minzu Univsersity, Lanzhou, People’s Republic of ChinaCorrespondence[email protected]
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He Guoyuana Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, People’s Republic of China;c National Languages Information Technology, Boulder, Northwest Minzu University, Lanzhou, People’s Republic of ChinaView further author information
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Tang Huiyuana Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, People’s Republic of China;c National Languages Information Technology, Boulder, Northwest Minzu University, Lanzhou, People’s Republic of ChinaView further author information
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Song Huafeia Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, People’s Republic of China;c National Languages Information Technology, Boulder, Northwest Minzu University, Lanzhou, People’s Republic of ChinaView further author information
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Yue Chaoyanga Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, People’s Republic of China;c National Languages Information Technology, Boulder, Northwest Minzu University, Lanzhou, People’s Republic of ChinaView further author information
Pages 732-748 | Received 16 Aug 2021, Accepted 08 Feb 2022, Published online: 23 Feb 2022

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Read on this site (1)

Ibrahim Abunadi. (2022) Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease. Connection Science 34:1, pages 2395-2430.
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Articles from other publishers (1)

Panpan Xue, Wenjin Hu, Chaoyang Yue, Huiyuan Tang, Huafei Song & Guoyuan He. (2022) Thangka Yidam classification based on DenseNet and SENet. Journal of Electronic Imaging 31:04.
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