Reference Type | Journal (article/letter/editorial) |
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Title | Fine-grained action segmentation using the semi-supervised action GAN |
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Journal | Pattern Recognition |
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Authors | Gammulle, Harshala | Author |
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Denman, Simon | Author |
Sridharan, Sridha | Author |
Fookes, Clinton | Author |
Year | 2020 (February) | Volume | 98 |
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Publisher | Elsevier BV |
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DOI | doi:10.1016/j.patcog.2019.107039Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 9367990 | Long-form Identifier | mindat:1:5:9367990:3 |
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GUID | 0 |
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Full Reference | Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, Fookes, Clinton (2020) Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognition, 98. 107039pp. doi:10.1016/j.patcog.2019.107039 |
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Plain Text | Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, Fookes, Clinton (2020) Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognition, 98. 107039pp. doi:10.1016/j.patcog.2019.107039 |
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In | (2020) Pattern Recognition Vol. 98. Elsevier BV |
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