Online hashing with bit selection for image retrieval

Z Weng, Y Zhu - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
Online hashing methods have been intensively investigated in semantic image retrieval due
to their efficiency in learning the hash functions with one pass through the streaming data …

Practical protection against video data leakage via universal adversarial head

J Bai, B Chen, K Gao, X Wang, ST Xia - Pattern Recognition, 2022 - Elsevier
While online video sharing becomes more popular, it also causes unconscious leakage of
personal information in the video retrieval systems like deep hashing. A snoop can collect …

Supervised deep hashing for hierarchical labeled data

D Wang, H Huang, C Lu, BS Feng, G Wen… - Proceedings of the …, 2018 - ojs.aaai.org
Recently, hashing methods have been widely used in largescale image retrieval. However,
most existing supervised hashing methods do not consider the hierarchical relation of …

Rank-consistency deep hashing for scalable multi-label image search

C Ma, J Lu, J Zhou - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
As hashing becomes an increasingly appealing technique for large-scale image retrieval,
multi-label hashing is also attracting more attention for the ability to exploit multi-level …

Adaptive labeling for deep learning to hash

HF Yang, CH Tu, CS Chen - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Hash function learning has been widely used for large-scale image retrieval because of the
efficiency of computation and storage. We introduce AdaLabelHash, a binary hash function …

Incorporating category taxonomy in deep reinforcement learning based image hashing

Q Fu, L Dong, Z Liu, Y Luo, Y Wen, Y Li… - … on Multimedia and …, 2019 - ieeexplore.ieee.org
Image hashing is critical for large-scale image analytic-based applications, such as image
retrieval. Although there have been dozens of hashing approaches, few of them take the …