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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 4 vom: 01. Apr., Seite 2489-2505
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| 1. Verfasser: |
Yao, Yue
(VerfasserIn) |
| Weitere Verfasser: |
Zheng, Liang,
Yang, Xiaodong,
Napthade, Milind,
Gedeon, Tom |
| Format: | Online-Aufsatz
|
| Sprache: | English |
| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
| Schlagworte: | Journal Article |