Optical Flow as Spatial-Temporal Attention Learners
Optical flow is an indispensable building block for various important computer vision tasks, including motion estimation, object tracking, and disparity measurement. To date, the dominant methods are CNN-based, leaving plenty of room for improvement. In this work, we propose TransFlow, a transformer...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 03. Okt.
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1. Verfasser: |
Lu, Yawen
(VerfasserIn) |
Weitere Verfasser: |
Han, Cheng,
Wang, Qifan,
Fan, Heng,
Kong, Zhaodan,
Liu, Dongfang,
Chen, Yingjie |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2024
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article |