Online Meta Adaptation for Fast Video Object Segmentation
Conventional deep neural networks based video object segmentation (VOS) methods are dominated by heavily fine-tuning a segmentation model on the first frame of a given video, which is time-consuming and inefficient. In this paper, we propose a novel method which rapidly adapts a base segmentation mo...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 5 vom: 14. Mai, Seite 1205-1217
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| 1. Verfasser: |
Xiao, Huaxin
(VerfasserIn) |
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| Weitere Verfasser: |
Kang, Bingyi,
Liu, Yu,
Zhang, Maojun,
Feng, Jiashi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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