Browse State-of-the-Art › Facial Action Unit Detection
Facial Action Unit Detection
21 papers with code · 3 benchmarks · 4 datasets archive 2025-07-28
Facial action unit detection is the task of detecting action units from a video of a face - for example, lip tightening and cheek raising.
( Image credit: Self-supervised Representation Learning from Videos for Facial Action Unit Detection )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| BP4D (10 rows) | FMAE-IAT | Representation Learning and Identity Adversarial Training for... | code | — | Compare |
| DISFA (8 rows) | Norface | Norface: Improving Facial Expression Analysis by Identity Normalization | code | — | Compare |
| BP4D+ (3 rows) | FMAE-IAT | Representation Learning and Identity Adversarial Training for... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
21 shown of 21 papers with code (96 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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10 Feb 2020 3 repositories listed Syntology ran 2 of 7 samples · 5 unverifiedWe use the soft labels and the ground truth to train the student model.
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9 Mar 2024 2 repositories listedIn conclusion, this paper provides valuable insights into the potential applications and challenges of MLLMs in human-centric computing.
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15 Aug 2023 2 repositories listedAnatomically, there are innumerable correlations between AUs, which contain rich information and are vital for AU detection.
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2 May 2022 2 repositories listed Syntology ran 7 of 7 samples · 0 unverifiedWhile the relationship between a pair of AUs can be complex and unique, existing approaches fail to specifically and explicitly represent such cues for each pair of AUs in each facial display.
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30 Mar 2021 2 repositories listedRecent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e.
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11 Jan 2017 2 repositories listedLimited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn disentangled invariant features.
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1 Jun 2016 2 repositories listedRegion learning (RL) and multi-label learning (ML) have recently attracted increasing attentions in the field of facial Action Unit (AU) detection.
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2 Oct 2024 1 repository listedSpecifically, we explore the mechanism of self-attention weight distribution, in which the self-attention weight distribution of each AU is regarded as spatial distribution and is adaptively learned under the constraint…
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22 Jul 2024 1 repository listedFirst, the carefully designed normalization network struggles to directly remove the above task-irrelevant noise, by maintaining facial expression consistency but normalizing all original images to a common identity…
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15 Jul 2024 1 repository listedTo fill this gap, we first show that subject identity in AU datasets creates shortcut learning for the model and leads to sub-optimal solutions to AU predictions.
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9 Apr 2024 1 repository listed Syntology ran 9 of 11 samples · 2 unverifiedHuman facial action units (AUs) are mutually related in a hierarchical manner, as not only they are associated with each other in both spatial and temporal domains but also AUs located in the same/close facial regions…
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7 Mar 2024 1 repository listedFacial Action Units (AU) is a vital concept in the realm of affective computing, and AU detection has always been a hot research topic.
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9 Feb 2024 1 repository listedFor the Facial Action Unit (AU) detection task, accurately capturing the subtle facial differences between distinct AUs is essential for reliable detection.
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23 Aug 2023 1 repository listedThe proposed FG-Net achieves a strong generalization ability for heatmap-based AU detection thanks to the generalizable and semantic-rich features extracted from the pre-trained generative model.
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17 Feb 2021 1 repository listedTo automate parts of this process, we propose a Deep Learning-based method to detect EquiFACS units automatically from images.
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18 Mar 2020 1 repository listedMoreover, to extract precise local features, we propose an adaptive attention learning module to refine the attention map of each AU adaptively.
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24 Oct 2019 1 repository listedIn this work, we propose a semi-supervised approach for AU recognition utilizing a large number of web face images without AU labels and a relatively small face dataset with AU annotations inspired by the co-training…
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1 Jun 2019 1 repository listedIn this paper, we aim to learn discriminative representation for facial action unit (AU) detection from large amount of videos without manual annotations.
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25 Mar 2019 1 repository listedDue to the combination of source AU-related information and target AU-free information, the latent feature domain with transferred source label can be learned by maximizing the target-domain AU detection performance.
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15 Mar 2018 1 repository listedFacial action unit (AU) detection and face alignment are two highly correlated tasks since facial landmarks can provide precise AU locations to facilitate the extraction of meaningful local features for AU detection.
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25 Apr 2017 1 repository listedWe then move to the novel setup of the FERA 2017 Challenge, in which we propose a multi-view extension of our approach that operates by first predicting the viewpoint from which the video was taken, and then evaluating…
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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