Action Unit Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

3 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

16 shown of 16 papers with code (108 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.

• Multitask Emotion Recognition with Incomplete Labels
  10 Feb 2020 3 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  We use the soft labels and the ground truth to train the student model.
• Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
  15 Aug 2023 2 repositories listed
  Anatomically, there are innumerable correlations between AUs, which contain rich information and are vital for AU detection.
• Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets
  10 Jun 2022 2 repositories listed
  In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of action unit points.
• AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection
  14 Dec 2018 2 repositories listed
  (2) We integrate various dynamic models (including convolutional long short-term memory, two stream network, conditional random field, and temporal action localization network) into AU R-CNN and then investigate and…
• A Compact Embedding for Facial Expression Similarity
  27 Nov 2018 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Most of the existing work on automatic facial expression analysis focuses on discrete emotion recognition, or facial action unit detection.
• Deep Region and Multi-Label Learning for Facial Action Unit Detection
  1 Jun 2016 2 repositories listed
  Region learning (RL) and multi-label learning (ML) have recently attracted increasing attentions in the field of facial Action Unit (AU) detection.
• Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample
  2 Oct 2024 1 repository listed
  Specifically, 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…
• Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency
  4 Aug 2024 1 repository listed
  Evaluating affect analysis methods presents challenges due to inconsistencies in database partitioning and evaluation protocols, leading to unfair and biased results.
• Learning Contrastive Feature Representations for Facial Action Unit Detection
  9 Feb 2024 1 repository listed
  For the Facial Action Unit (AU) detection task, accurately capturing the subtle facial differences between distinct AUs is essential for reliable detection.
• FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
  23 Aug 2023 1 repository listed
  The 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.
• EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition
  16 Mar 2023 1 repository listed
  In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented.
• JÂA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention
  18 Mar 2020 1 repository listed
  Moreover, to extract precise local features, we propose an adaptive attention learning module to refine the attention map of each AU adaptively.
• Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
  1 Jun 2019 1 repository listed
  In this paper, we aim to learn discriminative representation for facial action unit (AU) detection from large amount of videos without manual annotations.
• Unconstrained Facial Action Unit Detection via Latent Feature Domain
  25 Mar 2019 1 repository listed
  Due 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.
• Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
  15 Mar 2018 1 repository listed
  Facial 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.
• Multi-View Dynamic Facial Action Unit Detection
  25 Apr 2017 1 repository listed
  We 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 2 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.