Browse State-of-the-Art › Micro-Expression Spotting
Micro-Expression Spotting
4 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Facial Micro-Expression Spotting is a challenging task in identifying onset, apex and/or offset over a short or long micro-expression sequence.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (16 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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18 Dec 2019 2 repositories listedBoth macro- and micro-expression intervals in CAS(ME)² and SAMM Long Videos are spotted by employing the method of Main Directional Maximal Difference Analysis (MDMD).
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9 May 2023 1 repository listedIn comparison to optical flow, phase provides more localized motion estimates, which are essential for ME spotting, resulting in higher performance.
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16 Mar 2023 1 repository listedAutomatic Micro-Expression (ME) spotting in long videos is a crucial step in ME analysis but also a challenging task due to the short duration and low intensity of MEs.
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11 Jun 2021 1 repository listedFacial expressions vary from the visible to the subtle.
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