Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval
Author:
Affiliation:
1. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China
2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
Funder
Chinese Academy of Sciences
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3323873.3325045
Reference33 articles.
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2. Yue Cao Mingsheng Long and Jianmin Wang. 2017. Correlation Hashing Network for Efficient Cross-Modal Retrieval. In BMVC. Yue Cao Mingsheng Long and Jianmin Wang. 2017. Correlation Hashing Network for Efficient Cross-Modal Retrieval. In BMVC.
3. Ken Chatfield Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2014. Return of the Devil in the Details: Delving Deep into Convolutional Nets. In BMVC. Ken Chatfield Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2014. Return of the Devil in the Details: Delving Deep into Convolutional Nets. In BMVC.
4. Zhen-Duo Chen Wan-Jin Yu Chuan-Xiang Li Liqiang Nie and Xin-Shun Xu. 2018. Dual Deep Neural Networks Cross-Modal Hashing. In AAAI. 274--281. Zhen-Duo Chen Wan-Jin Yu Chuan-Xiang Li Liqiang Nie and Xin-Shun Xu. 2018. Dual Deep Neural Networks Cross-Modal Hashing. In AAAI. 274--281.
5. Tat-Seng Chua Jinhui Tang Richang Hong Haojie Li Zhiping Luo and Yantao Zheng. 2009. NUS-WIDE: a real-world web image database from National University of Singapore. In ACM CIVR. 10.1145/1646396.1646452 Tat-Seng Chua Jinhui Tang Richang Hong Haojie Li Zhiping Luo and Yantao Zheng. 2009. NUS-WIDE: a real-world web image database from National University of Singapore. In ACM CIVR. 10.1145/1646396.1646452
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