Unsupervised Learning of Optical Flow With CNN-based Non-Local Filtering
Estimating optical flow from successive video frames is one of the fundamental problems in computer vision and image processing. In the era of deep learning, many methods have been proposed to use convolutional neural networks (CNNs) for optical flow estimation in an unsupervised manner. However, th...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2020) vom: 05. Aug.
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| 1. Verfasser: |
Tian, Long
(VerfasserIn) |
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| Weitere Verfasser: |
Tu, Zhigang,
Zhang, Dejun,
Liu, Jun,
Li, Baoxin,
Yuan, Junsong |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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