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 …
against a query image. Generally, the similarity between the representative features of the …
Perceptual hashing for image authentication: A survey
Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …
perception digests based on the understanding of multimedia content. This paper presents a …
Deep incremental hashing network for efficient image retrieval
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 …
computation efficiency, especially the recent deep supervised hashing methods. To achieve …
Improved deep hashing with soft pairwise similarity for multi-label image retrieval
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 …
scale image retrieval. Recently, many deep hashing methods have been proposed and …
Targeted attack for deep hashing based retrieval
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 …
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
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 …
sexual abuse material (CSAM) on user devices before files are uploaded to its iCloud …
Deep semantic-alignment hashing for unsupervised cross-modal retrieval
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 …
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 …
pornography, and the amount of time that people spend online (especially children) have …
Multi-label image classification via category prototype compositional learning
Real-world images are often compositions of multiple objects with different categories,
scales, poses and locations. Adding nonexistent objects to an image (composing) or …
scales, poses and locations. Adding nonexistent objects to an image (composing) or …
Deep unsupervised hybrid-similarity hadamard hashing
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 …
supervised hashing has shown promising performance, yet little work has been done under …