Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shin'Ya Yamaguchi"'
Publikováno v:
IEEE Access, Vol 12, Pp 135135-135147 (2024)
Focusing on person re-identification datasets, this paper proposes a new method to estimate the test accuracy curve over the training image number in a precise, interpretable, and efficient manner to receive financial and privacy protection benefits.
Externí odkaz:
https://doaj.org/article/1cb779be046c4673a5893ac32e523e29
Publikováno v:
AAAI
For deep learning applications, the massive data development (e.g., collecting, labeling), which is an essential process in building practical applications, still incurs seriously high costs. In this work, we propose an effective data augmentation me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b6ed6b0788ed5368010a73971535c8
https://doi.org/10.1609/aaai.v34i04.6131
https://doi.org/10.1609/aaai.v34i04.6131
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
The rotation prediction (Rotation) is a simple pretext-task for self-supervised learning (SSL), where models learn useful representations for target vision tasks by solving pretext-tasks. Although Rotation captures information of object shapes, it ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a937da1d257d775d82902ed55e4bd1
https://doi.org/10.1109/icip42928.2021.9506132
https://doi.org/10.1109/icip42928.2021.9506132
Publikováno v:
IJCNN
We propose a method for improving adversarial robustness by addition of a new bounded function just before softmax. Recent studies hypothesize that small logits (inputs of softmax) by logit regularization can improve adversarial robustness of deep le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49792f459d08f9d7db4dafdb29132029
http://arxiv.org/abs/2010.02558
http://arxiv.org/abs/2010.02558
Autor:
Kimio Kuramitsu, Shin'ya Yamaguchi
Publikováno v:
Advanced Topics in Intelligent Information and Database Systems ISBN: 9783319566597
ACIIDS (Extended Posters)
ACIIDS (Extended Posters)
Schema validation is an important technique that achieves reliable data exchange on the Web. Historically, schema validation has been developed intensively in XML. However, open data, which receive much attention recently, are exchanged in various fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5668b2a68ff46e779515235ea80d7509
https://doi.org/10.1007/978-3-319-56660-3_37
https://doi.org/10.1007/978-3-319-56660-3_37
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.