Supervised Recurrent Hashing for Large Scale Video Retrieval

Author:

Gu Yun1,Ma Chao1,Yang Jie1

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

973 Plan, China

National Natural Science Foundation of China

Publisher

ACM

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HashNeck is a Boosting Tool for Deep Learning to Hashing;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

2. Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling;IEEE Transactions on Multimedia;2024

3. TASTNet: An end-to-end deep fingerprinting net with two-dimensional attention mechanism and spatio-temporal weighted fusion for video content authentication;Journal of Visual Communication and Image Representation;2023-10

4. Deep learning for video-text retrieval: a review;International Journal of Multimedia Information Retrieval;2023-02-23

5. Framework Design for Similar Video Detection: A Graph Based Video Clustering Approach;2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2022-10-20

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