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SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
April 15, 2024, 4:44 a.m. | Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli
cs.CV updates on arXiv.org arxiv.org
Abstract: Optical flow estimation is crucial to a variety of vision tasks. Despite substantial recent advancements, achieving real-time on-device optical flow estimation remains a complex challenge. First, an optical flow model must be sufficiently lightweight to meet computation and memory constraints to ensure real-time performance on devices. Second, the necessity for real-time on-device operation imposes constraints that weaken the model's capacity to adequately handle ambiguities in flow estimation, thereby intensifying the difficulty of preserving flow accuracy. …
abstract arxiv challenge cleaning computation constraints cs.cv devices flow memory optical optical flow performance real-time tasks type vision
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