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
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
|
Sujets: | Journal Article |