Co-Learning to Hash Palm Biometrics for Flexible IoT Deployment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3190020
Abstract: Security enhancement via trustworthy identity authentication in Internet of Things (IoT) has soared recently. Biometrics offers a promising remedy to improve the security and utility of IoT and play a role in securing a variety… read more here.
Keywords: palm; identity; print; hash codes ... See more keywords
Unsupervised Balanced Hash Codes Learning With Multichannel Feature Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3162251
Abstract: Unsupervised hashingalgorithms are widely used in large-scale remote sensing images (RSIs) retrieval task. However, existing RSI retrieval algorithms fail to capture the multichannel characteristic of multispectral RSIs and the balanced property of hash codes, which… read more here.
Keywords: feature fusion; multichannel feature; hash codes;
Contrast-Based Unsupervised Hashing Learning With Multi-Hashcode
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3130500
Abstract: Due to high storage and calculation efficiency, hash-based methods have been widely used in image retrieval systems. Unsupervised deep hashing methods can learn the binary representations of images effectively without any annotations. The strategy of… read more here.
Keywords: contrast based; hashing learning; unsupervised hashing; based unsupervised ... See more keywords
Fast Asymmetric and Discrete Cross-Modal Hashing With Semantic Consistency
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3195704
Abstract: Hashing has attracted widespread attention in the field of supervised cross-modal retrieval due to its advantages in search and storage. However, there are still some issues to be addressed, e.g.: 1) how to effectively combine… read more here.
Keywords: asymmetric discrete; cross modal; modal; hash codes ... See more keywords
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2987312
Abstract: Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing methods, deep cross-modal hashing methods can achieve a more satisfactory performance by… read more here.
Keywords: hash codes; cross modal; modal hashing; unified hash ... See more keywords
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2929068
Abstract: Hashing has been widely used for large-scale approximate nearest neighbor search due to its storage and search efficiency. Recent supervised hashing research has shown that deep learning-based methods can significantly outperform nondeep methods. Most existing… read more here.
Keywords: class specific; hash codes; deep hashing; class ... See more keywords
MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2940446
Abstract: Hashing has recently sparked a great revolution in cross-modal retrieval because of its low storage cost and high query speed. Recent cross-modal hashing methods often learn unified or equal-length hash codes to represent the multi-modal… read more here.
Keywords: modal retrieval; hash codes; cross modal; cross ... See more keywords