SDOF-GAN : Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks
There is a growing consensus in computer vision that symmetric optical flow estimation constitutes a better model than a generic asymmetric one for its independence of the selection of source/target image. Yet, convolutional neural networks (CNNs), that are considered the de facto standard vision mo...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 01., Seite 6036-6049
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| 1. Verfasser: |
Che, Tongtong
(VerfasserIn) |
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| Weitere Verfasser: |
Zheng, Yuanjie,
Yang, Yunshuai,
Hou, Sujuan,
Jia, Weikuan,
Yang, Jie,
Gong, Chen |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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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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