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ProMotion: Prototypes As Motion Learners
June 10, 2024, 4:48 a.m. | Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan
cs.CV updates on arXiv.org arxiv.org
Abstract: In this work, we introduce ProMotion, a unified prototypical framework engineered to model fundamental motion tasks. ProMotion offers a range of compelling attributes that set it apart from current task-specific paradigms. We adopt a prototypical perspective, establishing a unified paradigm that harmonizes disparate motion learning approaches. This novel paradigm streamlines the architectural design, enabling the simultaneous assimilation of diverse motion information. We capitalize on a dual mechanism involving the feature denoiser and the prototypical learner …
abstract arxiv attributes cs.cv current framework fundamental novel paradigm perspective promotion set tasks type work
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