Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Du, Yangzhou"'
In recent years, deep models have achieved remarkable success in various vision tasks. However, their performance heavily relies on large training datasets. In contrast, humans exhibit hybrid learning, seamlessly integrating structured knowledge for
Externí odkaz:
http://arxiv.org/abs/2305.18731
In this paper, we investigate the effectiveness of integrating a hierarchical taxonomy of labels as prior knowledge into the learning algorithm of a flat classifier. We introduce two methods to integrate the hierarchical taxonomy as an explicit regul
Externí odkaz:
http://arxiv.org/abs/2305.16341
Domain adaptation (DA) tries to tackle the scenarios when the test data does not fully follow the same distribution of the training data, and multi-source domain adaptation (MSDA) is very attractive for real world applications. By learning from large
Externí odkaz:
http://arxiv.org/abs/2204.05104
While deep learning makes significant achievements in Artificial Intelligence (AI), the lack of transparency has limited its broad application in various vertical domains. Explainability is not only a gateway between AI and real world, but also a pow
Externí odkaz:
http://arxiv.org/abs/2004.12277
In recent years, deep models have achieved remarkable success in many vision tasks. Unfortunately, their performance largely depends on intensive training samples. In contrast, human beings typically perform hybrid learning, e.g., spontaneously integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a12862159e39f0d427167f39c665e824
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Applied Parallel & Scientific Computing; 2013, p410-421, 12p
Publikováno v:
2013 IEEE International Conference on Image Processing; 2013, p3206-3210, 5p
Publikováno v:
2012 IEEE International Conference on Multimedia & Expo; 1/ 1/2012, p769-775, 7p
Publikováno v:
Proceedings of the 19th ACM International Conference: Multimedia; Nov2011, p1569-1572, 4p