Joint coarse-and-fine reasoning for deep optical flow
Cita com:
hdl:2117/116042
Tipus de documentText en actes de congrés
Data publicació2017
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
We propose a novel representation for dense pixel-wise estimation tasks using CNNs that boosts accuracy and reduces training time, by explicitly exploiting joint coarse-and-fine reasoning. The coarse reasoning is performed over a discrete classification space to obtain a general rough solution, while the fine details of the solution are obtained over a continuous regression space. In our approach both components are jointly estimated, which proved to be beneficial for improving estimation accuracy. Additionally, we propose a new network architecture, which combines coarse and fine components by treating the fine estimation as a refinement built on top of the coarse solution, and therefore adding details to the general prediction. We apply our approach to the challenging problem of optical flow estimation and empirically validate it against state-of-the-art CNN-based solutions trained from scratch and tested on large optical flow datasets.
Descripció
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CitacióVaquero, V., Ros, G., Moreno-Noguer, F., López, A., Sanfeliu, A. Joint coarse-and-fine reasoning for deep optical flow. A: IEEE International Conference on Image Processing. "Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP)". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 2558-2562.
ISBN2381-8549
Versió de l'editorhttp://dx.doi.org/10.1109/ICIP.2017.8296744
Col·leccions
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos [576]
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.500]
- VIS - Visió Artificial i Sistemes Intel·ligents - Ponències/Comunicacions de congressos [292]
- ROBiri - Grup de Percepció i Manipulació Robotitzada de l'IRI - Ponències/Comunicacions de congressos [252]
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