A decade survey of content based image retrieval using deep learning

SR Dubey - IEEE Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

Perceptual hashing for image authentication: A survey

L Du, ATS Ho, R Cong - Signal Processing: Image Communication, 2020 - Elsevier
Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …

Deep incremental hashing network for efficient image retrieval

D Wu, Q Dai, J Liu, B Li… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Hashing has shown great potential in large-scale image retrieval due to its storage and
computation efficiency, especially the recent deep supervised hashing methods. To achieve …

Improved deep hashing with soft pairwise similarity for multi-label image retrieval

Z Zhang, Q Zou, Y Lin, L Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Hash coding has been widely used in the approximate nearest neighbor search for large-
scale image retrieval. Recently, many deep hashing methods have been proposed and …

Targeted attack for deep hashing based retrieval

J Bai, B Chen, Y Li, D Wu, W Guo, S Xia… - Computer Vision–ECCV …, 2020 - Springer
The deep hashing based retrieval method is widely adopted in large-scale image and video
retrieval. However, there is little investigation on its security. In this paper, we propose a …

Learning to break deep perceptual hashing: The use case neuralhash

L Struppek, D Hintersdorf, D Neider… - Proceedings of the 2022 …, 2022 - dl.acm.org
Apple recently revealed its deep perceptual hashing system NeuralHash to detect child
sexual abuse material (CSAM) on user devices before files are uploaded to its iCloud …

Deep semantic-alignment hashing for unsupervised cross-modal retrieval

D Yang, D Wu, W Zhang, H Zhang, B Li… - Proceedings of the 2020 …, 2020 - dl.acm.org
Deep hashing methods have achieved tremendous success in cross-modal retrieval, due to
its low storage consumption and fast retrieval speed. In real cross-modal retrieval …

Learning strategies for sensitive content detection

D Povedano Álvarez, AL Sandoval Orozco… - Electronics, 2023 - mdpi.com
Currently, the volume of sensitive content on the Internet, such as pornography and child
pornography, and the amount of time that people spend online (especially children) have …

Multi-label image classification via category prototype compositional learning

F Zhou, S Huang, B Liu, D Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Real-world images are often compositions of multiple objects with different categories,
scales, poses and locations. Adding nonexistent objects to an image (composing) or …

Deep unsupervised hybrid-similarity hadamard hashing

W Zhang, D Wu, Y Zhou, B Li, W Wang… - Proceedings of the 28th …, 2020 - dl.acm.org
Hashing has become increasingly important for large-scale image retrieval. Recently, deep
supervised hashing has shown promising performance, yet little work has been done under …