Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent are effective for tasks involving sequences, visual and otherwise. We describe a class of recurrent convolutional architectures which is end-to-end tra...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 39(2017), 4 vom: 01. Apr., Seite 677-691
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| 1. Verfasser: |
Donahue, Jeff
(VerfasserIn) |
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| Weitere Verfasser: |
Hendricks, Lisa Anne,
Rohrbach, Marcus,
Venugopalan, Subhashini,
Guadarrama, Sergio,
Saenko, Kate,
Darrell, Trevor |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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