Webly Supervised Image Hashing with Lightweight Semantic Transfer Network
Author:
Affiliation:
1. Shandong Normal University, Jinan, China
2. University of Electronic Science and Technology of China, Chengdu, China
3. Harbin Institute of Technology (Shenzhen), Shenzhen, China
4. Monash University, Melbourne, VIC, Australia
Funder
National Natural Science Foundation of China
Youth Innovation Project of Shandong Universities, China
Natural Science Foundation of Shandong, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3503161.3548342
Reference76 articles.
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2. NUS-WIDE: A Real-world Web Image Database from National University of Singapore;Chua TatSeng;CIVR.,2009
3. Scalable Deep Hashing for Large-Scale Social Image Retrieval
4. Jia Deng , Wei Dong , Richard Socher , Lijia Li , Kai Li , and Feifei Li . 2009 . Imagenet: A large-scale hierarchical image database. In CVPR. 248--255. Jia Deng, Wei Dong, Richard Socher, Lijia Li, Kai Li, and Feifei Li. 2009. Imagenet: A large-scale hierarchical image database. In CVPR. 248--255.
5. ThanhToan Do AnhDzung Doan and NgaiMan Cheung. 2016. Learning to Hash with Binary Deep Neural Network. In ECCV. 219--234. ThanhToan Do AnhDzung Doan and NgaiMan Cheung. 2016. Learning to Hash with Binary Deep Neural Network. In ECCV. 219--234.
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