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Cross-Modal Hash Retrieval Model for Semantic Segmentation Network for Digital Libraries
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 10, 2024.
Abstract: Retracted: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
Keywords: Digital library; hash retrieval; semantic segmentation; word2vec; fully convolutional neural network
Siyu Tang and Jun Yin, “Cross-Modal Hash Retrieval Model for Semantic Segmentation Network for Digital Libraries” International Journal of Advanced Computer Science and Applications(IJACSA), 15(10), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151008
@article{Tang2024,
title = {Cross-Modal Hash Retrieval Model for Semantic Segmentation Network for Digital Libraries},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151008},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151008},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Siyu Tang and Jun Yin}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
