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Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 4665-4683
Authors:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Zheng, Yang;  Li, Xiaoqian;  Liang, Wei;  Li, Yuejun
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image annotation  multiple dependencies  self-attention  prediction path  Triplet Margin loss  
《“中”字的文化阐释》 期刊论文
青岛科技大学学报(社会科学版), 2019, 期号: 2018, 34(4), 页码: 60-68
Authors:  黄卫星;  张玉能
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中 中庸 中观 中正 中和  
一种基于局部相似哈希算法的大规模图像库检索方法 专利
专利类型: 发明专利, 专利号: ZL 2014 1 0440566.6, 申请日期: 2019-01-01,
Inventors:  张树武;  张桂煊;  郭勤振;  曾智
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基于区域验证的图像检索方法 专利
专利类型: 发明专利, 专利号: ZL 2016 1 0437729.4, 申请日期: 2019-01-01,
Inventors:  张树武;  张桂煊;  关虎;  曾智;  刘杰
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A New Trademark Detection Method via Trademark Confidence Score of MSERs 会议论文
, Guangzhou, China, May 10, 2019 - May 13, 2019
Authors:  Yang, Zheng;  Jie,Liu;  Yuan, Zhang;  Shuwu,Zhang;  Qing,Li
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Trademark Detection  Maximally Stable Extremal Regions  Trademark Confidence Score  Selective Search  
Automated pulmonary nodule detection in CT images using deep convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 页码: 109-119
Authors:  Xie, Hongtao;  Yang, Dongbao;  Sun, Nannan;  Chen, Zhineng;  Zhang, Yongdong
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Nodule detection  Convolutional neural network  False positive reduction  Computer-aided diagnosis  
Inductive Zero-Shot Image Annotation via Embedding Graph 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 107816-107830
Authors:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Li, Yuejun;  Yuan, Fei
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Contextualized word embeddings  graph convolutional network  image annotation  Node2Vec  zero-shot  
《“贤”字的文化阐释》(下) 期刊论文
《汕头大学学报》(人文社会科学版), 2018, 期号: 2018, 34(8), 页码: 19-28
Authors:  黄卫星;  张玉能
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贤 贤达 贤德 贤人 贤士 贤惠 贤哲  
《“贤”字的文化阐释》(上) 期刊论文
《汕头大学学报》(人文社会科学版), 2018, 期号: 2018, 34(7), 页码: 16-25
Authors:  黄卫星;  张玉能
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贤 贤达 贤德 贤人 贤士 贤惠 贤哲  
Image Annotation through Adaptive Dependency Fusion 会议论文
, 苏州, 2018-12
Authors:  Wang Fangxin(王方心);  Liu Jie;  Zhang Shuwu;  Zhang Guixuan;  Zheng Yang;  Li Xiaoqian
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Image Annotation  Multiple Dependencies  End-to-end  Prediction Path