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Search: "[ keyword: Self-Supervised Learning ]" (2)
Self-Supervised Waste Image Classification Model Considering Intra-Class Diversity
Hyuksoon Choi, Jinhwan Yang, Nammee Moon, Jinah Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 5, pp. 343-351,
May.
2025
https://doi.org/10.3745/TKIPS.2025.14.5.343
Keywords: Self-Supervised Learning, Waste Classification, Reconstruction Learning, contrastive learning, representation learning
https://doi.org/10.3745/TKIPS.2025.14.5.343
Keywords: Self-Supervised Learning, Waste Classification, Reconstruction Learning, contrastive learning, representation learning
Comparative Analysis of Self-supervised Deephashing Models for Efficient Image Retrieval System
Kim Soo In, Jeon Young Jin, Lee Sang Bum, Kim Won Gyum KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 12, pp. 519-524,
Dec.
2023
https://doi.org/10.3745/KTSDE.2023.12.12.519
Keywords: Deephashing, Image retrieval, Variational Inference, Self-Supervised Learning, Attention Mechanism
https://doi.org/10.3745/KTSDE.2023.12.12.519
Keywords: Deephashing, Image retrieval, Variational Inference, Self-Supervised Learning, Attention Mechanism
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
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All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
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