Arousal Estimation

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

5 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.

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (41 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.
• 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.
• 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.
• 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.
• MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
  8 Jul 2024 1 repository listed
  This model combines an attention mechanism with a dynamic graph neural network (DGNN) to capture intricate EEG dynamics.
• CAGE: Circumplex Affect Guided Expression Inference
  23 Apr 2024 1 repository listed
  Using a small-scaled MaxViT-based model architecture, we evaluate the impact of discrete expression category labels in training with the continuous valence and arousal labels.
• Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities
  28 Jan 2024 1 repository listed
  Within the field of Humanities, there is a recognized need for educational innovation, as there are currently no reported tools available that enable individuals to interact with their environment to create an enhanced…
• 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.
• Multitask Multi-database Emotion Recognition
  8 Jul 2021 1 repository listed
  We also exploit the sharing videos between the two tasks of the AffWild2 database that is used in the competition, to further improve the performance of the network.
• Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
  4 May 2021 1 repository listed
  In this work, we describe our method for tackling the valence-arousal estimation challenge from ABAW FG-2020 Competition.
• $M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
  7 Feb 2020 1 repository listed
  This report describes a multi-modal multi-task ($M^3$T) approach underlying our submission to the valence-arousal estimation track of the Affective Behavior Analysis in-the-wild (ABAW) Challenge, held in conjunction…

Syntology lines on 1 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.