Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition
Continuous sign language recognition (CSLR) is to recognize the glosses in a sign language video. Enhancing the generalization ability of CSLR's visual feature extractor is a worthy area of investigation. In this paper, we model glosses as priors that help to learn more generalizable visual fea...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 30., Seite 3486-3495
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| 1. Verfasser: |
Guo, Leming
(VerfasserIn) |
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| Weitere Verfasser: |
Xue, Wanli,
Liu, Bo,
Zhang, Kaihua,
Yuan, Tiantian,
Metaxas, Dimitris |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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