Contrast-Based Unsupervised Hashing Learning With Multi-Hashcode
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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
Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3148674
Abstract: Hashing has attracted increasing attention in image retrieval recently due to its storage and computational efficiency. Although several deep unsupervised hashing methods have been proposed lately, their effectiveness is far from satisfactory in practice owing… read more here.
Keywords: unsupervised hashing; similarity; deep unsupervised; intrinsic similarity ... See more keywords
Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3231215
Abstract: Unsupervised hashing for remote sensing (RS) image retrieval first extracts image features and then uses these features to construct supervised information (e.g., pseudolabels) to train hashing networks. Existing methods usually regard RS images as natural… read more here.
Keywords: remote sensing; unsupervised hashing; multisource; sensing image ... See more keywords