Supervised deep hashing for image content security
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5433-z
Abstract: Due to the fast growth of image data on the web, it is necessary to ensure the content security of uploaded images. One of the fundamental problems behind this need is retrieving relevant images from… read more here.
Keywords: supervised deep; deep hashing; image; content security ... See more keywords
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01362-7
Abstract: Image hash codes are produced by binarizing the embeddings of convolutional neural networks (CNN) trained for either classification or retrieval. While proxy embeddings achieve good performance on both tasks, they are non-trivial to binarize, due… read more here.
Keywords: proxy embeddings; deep hashing; consistent large; hash consistent ... See more keywords
Cosine metric supervised deep hashing with balanced similarity
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.093
Abstract: Abstract Deep supervised hashing takes prominent advantages of low storage cost, high computational efficiency and good retrieval performance, which draws attention in the field of large-scale image retrieval. However, similarity-preserving, quantization errors and imbalanced data… read more here.
Keywords: cosine metric; deep hashing; similarity; metric supervised ... See more keywords
Ranking-Based Deep Hashing Network for Image Retrieval
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DOI: 10.1109/access.2022.3224578
Abstract: In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship discrimination. To… read more here.
Keywords: network; function; deep hashing; image retrieval ... See more keywords
Non-Relaxation Deep Hashing Method for Fast Image Retrieval
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244813
Abstract: Deep hashing methods utilize an end-to-end framework to mutually learn feature representations and hash codes, thereby achieving a better retrieval performance. Traditional supervised hashing methods adopt handcrafted features for hashing function learning and then generate… read more here.
Keywords: function; deep hashing; retrieval; image retrieval ... See more keywords
RelaHash: Deep Hashing With Relative Position
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3259104
Abstract: Deep hashing has been widely used as a solution to encoding binary hash code for approximating nearest neighbor problem. It has been showing superior performance in terms of its ability to index high-level features by… read more here.
Keywords: similarity; relative position; loss; deep hashing ... See more keywords
Unsupervised Discriminative Deep Hashing With Locality and Globality Preservation
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DOI: 10.1109/lsp.2021.3059526
Abstract: Deep hashing has greatly improved retrieval performance with the powerful learning capability of deep neural network. However, deep unsupervised hashing can hardly achieve impressive performance due to the lack of the semantic supervision. This letter… read more here.
Keywords: tex math; inline formula; deep hashing;
HashFormer: Vision Transformer Based Deep Hashing for Image Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3157517
Abstract: Deep image hashing aims to map an input image to compact binary codes by deep neural network, to enable efficient image retrieval across large-scale dataset. Due to the explosive growth of modern data, deep hashing… read more here.
Keywords: deep hashing; image retrieval; transformer; image ... See more keywords
Deep Hashing With Multi-Central Ranking Loss for Multi-Label Image Retrieval
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3244516
Abstract: With the explosive growth of various images, large-scale image retrieval has attracted ever-growing attention. Deep hashing methods have achieved great success on single-label retrieval. However, the multi-level similarities between samples in multi-label scenarios have not… read more here.
Keywords: central ranking; loss; deep hashing; multi label ... See more keywords
SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2771332
Abstract: Hashing methods have been widely used for efficient similarity retrieval on large scale image database. Traditional hashing methods learn hash functions to generate binary codes from hand-crafted features, which achieve limited accuracy since the hand-crafted… read more here.
Keywords: deep hashing; similarity; semi supervised; hashing methods ... See more keywords
Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2781422
Abstract: In order to achieve efficient similarity searching, hash functions are designed to encode images into low-dimensional binary codes with the constraint that similar features will have a short distance in the projected Hamming space. Recently,… read more here.
Keywords: pseudo labels; pseudo; image; deep hashing ... See more keywords