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Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss.

Y. Huang, L. Lin, X. Wang, H. Liu, Y. Qian, M. Liu, and K. Ouchi. CoRR, (2020)

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Smartphone-based monitoring system for activities of daily living for elderly people and their relatives etc.K. Ouchi, and M. Doi. UbiComp (Adjunct Publication), page 103-106. ACM, (2013)Living activity recognition using off-the-shelf sensors on mobile phones.K. Ouchi, and M. Doi. Ann. des Télécommunications, 67 (7-8): 387-395 (2012)F3N: Full Feature Fusion Network for Object Detection.G. Wang, K. Tang, and K. Ouchi. ACAI, page 20:1-20:7. ACM, (2020)C3MNet: Customized Multi-Channel Muscle Motion Network for Yawn-Based Fatigue Emotion Detection.X. Wang, K. Tang, X. Liu, and K. Ouchi. MLMI, page 38-43. ACM, (2021)Ensemble Distilling Pretrained Language Models for Machine Translation Quality Estimation.H. Huang, H. Di, J. Xu, K. Ouchi, and Y. Chen. NLPCC (2), volume 12431 of Lecture Notes in Computer Science, page 231-243. Springer, (2020)LifeMinder: A Wearable Healthcare Support System Using User's Context.K. Ouchi, T. Suzuki, and M. Doi. ICDCS Workshops, page 791-792. IEEE Computer Society, (2002)Contrastive Learning for Machine Translation Quality Estimation.H. Huang, H. Di, J. Liu, Y. Chen, K. Ouchi, and J. Xu. NLPCC (1), volume 13028 of Lecture Notes in Computer Science, page 92-103. Springer, (2021)Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss.Y. Huang, L. Lin, X. Wang, H. Liu, Y. Qian, M. Liu, and K. Ouchi. CoRR, (2020)A wearable authoring system using organized multimedia data.K. Ouchi, Y. Ohmori, S. Matsushita, and M. Doi. CHI Extended Abstracts, page 109-110. ACM, (2000)Supervised Contrastive Learning for Cross-Lingual Transfer Learning.S. Wang, H. Di, H. Huang, S. Lai, K. Ouchi, Y. Chen, and J. Xu. CCL, volume 13603 of Lecture Notes in Computer Science, page 212-225. Springer, (2022)

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Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss.

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Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss.