Browse State-of-the-Art › Event-based Motion Estimation
Event-based Motion Estimation
6 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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17 Jan 2024 1 repository listedDespite the promise of superior performance under challenging conditions, event-based motion estimation remains a hard problem owing to the difficulty of extracting and tracking stable features from event streams.
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1 Jan 2023 1 repository listedIn addition, a dynamic batch size strategy is applied to adaptively adjust the batch size so that all events in the batch are consistent with the current motion model.
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14 Dec 2022 1 repository listedWe hope our work opens the door for future applications that unlocks the advantages of event cameras.
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8 Jul 2022 1 repository listedContrast maximization (CMax) is a framework that provides state-of-the-art results on several event-based computer vision tasks, such as ego-motion or optical flow estimation.
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25 Feb 2020 1 repository listedTo alleviate this weakness, we propose a new globally optimal event-based motion estimation algorithm.
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19 Jun 2019 1 repository listedA recent alternative is to use event sensors, which could enable more energy efficient and faster star trackers.
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