Facial Expression Recognition (FER)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

25 leaderboard tables shown for this task, 25 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. 10 shown of 25 until expanded.

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

29 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

5 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 155 papers with code (492 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.

• Challenges in Representation Learning: A report on three machine learning contests
  1 Jul 2013 12 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge.
• Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
  3 Aug 2016 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Crowd sourcing has become a widely adopted scheme to collect ground truth labels.
• Deep Facial Expression Recognition: A Survey
  23 Apr 2018 6 repositories listed
  We then introduce the available datasets that are widely used in the literature and provide accepted data selection and evaluation principles for these datasets.
• Facial Motion Prior Networks for Facial Expression Recognition
  23 Feb 2019 4 repositories listed
  Deep learning based facial expression recognition (FER) has received a lot of attention in the past few years.
• Detect Faces Efficiently: A Survey and Evaluations
  3 Dec 2021 3 repositories listed
  However, with the tremendous increase in images and videos with variations in face scale, appearance, expression, occlusion and pose, traditional face detectors are challenged to detect various "in the wild" faces.
• Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations
  10 Jul 2021 3 repositories listed
  A dynamic transition mechanism is used to move from supervision loss in early learning to consistency loss for consensus of predictions among networks in the later stage.
• Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
  4 Feb 2019 3 repositories listed
  In recent years, several works proposed an end-to-end framework for facial expression recognition, using deep learning models.
• Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
  7 Aug 2018 3 repositories listed
  This paper presents a deep learning model to improve engagement recognition from images that overcomes the data sparsity challenge by pre-training on readily available basic facial expression data, before training on…
• MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images
  19 Nov 2017 3 repositories listed
  On the other hand, KD is proved to be useful for model compression for the FER problem, and we discovered that its effects gets more and more significant with the decreasing model size.
• DeXpression: Deep Convolutional Neural Network for Expression Recognition
  17 Sep 2015 3 repositories listed
  The proposed architecture achieves 99.
• Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition
  23 Oct 2024 2 repositories listed
  In addition, to further alleviate the scarcity of labeled and diverse images, we propose a Mixup-based data augmentation strategy tailored for facial images, and the loss weights of real and virtual images are…
• From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
  9 Dec 2023 2 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  And the TMAs capture and model the relationships of dynamic changes in facial expressions, effectively extending the pre-trained image model for videos.
• Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
  25 Sep 2022 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Specifically, to find pairs of similar expressions from different identities, we define the inter-feature similarity as a transportation cost.
• Analysis of Semi-Supervised Methods for Facial Expression Recognition
  31 Jul 2022 2 repositories listed
  To reduce the reliance of deep neural solutions on labeled data, state-of-the-art semi-supervised methods have been proposed in the literature.
• Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
  4 Jul 2022 2 repositories listed
  It is shown that the resulting facial features can be used for fast simultaneous prediction of students’ engagement levels (from disengaged to highly engaged), individual emotions (happy, sad, etc.,) and group-level…
• 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.
• Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
  25 Mar 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.
• Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network
  22 Jan 2022 2 repositories listed
  Facial expressions are a form of non-verbal communication that humans perform seamlessly for meaningful transfer of information.
• Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View Image
  5 Jan 2022 2 repositories listed
  In addition, the lack of high-quality paired data remains an obstacle for both methods.
• Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
  15 Sep 2021 2 repositories listed
  To address these issues, we propose our DAN with three key components: Feature Clustering Network (FCN), Multi-head cross Attention Network (MAN), and Attention Fusion Network (AFN).
• Facial Emotion Recognition: State of the Art Performance on FER2013
  8 May 2021 2 repositories listed
  Facial emotion recognition (FER) is significant for human-computer interaction such as clinical practice and behavioral description.
• Facial Emotion Recognition Using Transfer Learning in the Deep CNN
  27 Apr 2021 2 repositories listed
  Human facial emotion recognition (FER) has attracted the attention of the research community for its promising applications.
• Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
  31 Mar 2021 2 repositories listed
  Moreover, it is shown that the usage of our neural network as a feature extractor of facial regions in video frames and concatenation of several statistical functions (mean, max, etc.)
• Pre-training strategies and datasets for facial representation learning
  30 Mar 2021 2 repositories listed
  Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e.
• Convolutional Neural Network Hyperparameters optimization for Facial Emotion Recognition
  25 Mar 2021 2 repositories listed
  This paper presents a method of optimizing the hyperparameters of a convolutional neural network in order to increase accuracy in the context of facial emotion recognition.
• Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information
  29 Sep 2020 2 repositories listed
  Facial expression recognition(FER) in the wild is crucial for building reliable human-computer interactive systems.
• Graph Convolution with Low-rank Learnable Local Filters
  4 Aug 2020 2 repositories listed
  Recent deep models using graph convolutions provide an appropriate framework to handle such non-Euclidean data, but many of them, particularly those based on global graph Laplacians, lack expressiveness to capture local…
• Facial Expression Recognition with Deep Learning
  8 Apr 2020 2 repositories listed
  One of the most universal ways that people communicate is through facial expressions.
• Suppressing Uncertainties for Large-Scale Facial Expression Recognition
  24 Feb 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Annotating a qualitative large-scale facial expression dataset is extremely difficult due to the uncertainties caused by ambiguous facial expressions, low-quality facial images, and the subjectiveness of annotators.
• Compacting, Picking and Growing for Unforgetting Continual Learning
  15 Oct 2019 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  First, it can avoid forgetting (i.

Syntology lines on 6 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.