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Match them up: visually explainable few-shot image classification.

, , , , , и . Appl. Intell., 53 (9): 10956-10977 (мая 2023)

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Yuta Toriyama

 

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BUDA.ART: A Multimodal Content Based Analysis and Retrieval System for Buddha Statues., , , , , , , , и . ACM Multimedia, стр. 1062-1064. ACM, (2019)Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks., , , , , и . CoRR, (2022)A Picture May Be Worth a Hundred Words for Visual Question Answering., , , , , , и . CoRR, (2021)Match them up: visually explainable few-shot image classification., , , , , и . Appl. Intell., 53 (9): 10956-10977 (мая 2023)IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets., , , , , и . W-NUT@EMNLP, стр. 428-433. Association for Computational Linguistics, (2020)Legal Information as a Complex Network: Improving Topic Modeling Through Homophily., , , , , , и . COMPLEX NETWORKS (2), том 882 из Studies in Computational Intelligence, стр. 28-39. Springer, (2019)Detecting intended human objects in human-captured videos., , и . CVPR Workshops, стр. 33-40. IEEE Computer Society, (2010)Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation., , , , , , и . ICPR, стр. 1043-1048. IEEE Computer Society, (2018)Discriminating Intended Human Objects in Consumer Videos., , и . ICPR, стр. 4380-4383. IEEE Computer Society, (2010)Automatic generation of privacy-protected videos using background estimation., , и . ICME, стр. 1-6. IEEE Computer Society, (2011)