Attribute Descent : Simulating Object-Centric Datasets on the Content Level and Beyond

This article aims to use graphic engines to simulate a large number of training data that have free annotations and possibly strongly resemble to real-world data. Between synthetic and real, a two-level domain gap exists, involving content level and appearance level. While the latter is concerned wi...

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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 4 vom: 01. Apr., Seite 2489-2505
Auteur principal:	Yao, Yue (Auteur)
Autres auteurs:	Zheng, Liang, Yang, Xiaodong, Napthade, Milind, Gedeon, Tom
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article