Browse State-of-the-Art › Video Emotion Recognition
Video Emotion Recognition
9 papers with code · 2 benchmarks · 5 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 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 |
|---|---|---|---|---|---|
| Ekman6 (6 rows) | VEMOCLAP | VEMOCLAP: A video emotion classification web application | — | — | Compare |
| CREMA-D (4 rows) | VAEmo | VAEmo: Efficient Representation Learning for Visual-Audio Emotion... | 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
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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (29 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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15 Jun 2020 2 repositories listedHumans are able to comprehend information from multiple domains for e.
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21 Nov 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedSpatial-temporal feature learning is of vital importance for video emotion recognition.
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5 May 2025 1 repository listedAudiovisual emotion recognition (AVER) aims to infer human emotions from nonverbal visual-audio (VA) cues, offering modality-complementary and language-agnostic advantages.
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25 Dec 2024 1 repository listedThis paper expands the cascaded network branch of the autoencoder-based multi-task learning (MTL) framework for dynamic facial expression recognition, namely Multi-Task Cascaded Autoencoder for Dynamic Facial Expression…
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28 Apr 2024 1 repository listedIn comparison to state-of-the-art multimodal supervised learning models for dynamic emotion recognition, MultiMAE-DER enhances the weighted average recall (WAR) by 4.
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29 Nov 2023 1 repository listedThe prevailing use of SVs to spread emotions leads to the necessity of conducting video emotion analysis (VEA) towards SVs.
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1 Jan 2023 1 repository listedAutomatically predicting the emotions of user-generated videos (UGVs) receives increasing interest recently.
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21 Sep 2022 1 repository listedIn the latest social networks, more and more people prefer to express their emotions in videos through text, speech, and rich facial expressions.
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4 May 2021 1 repository listedIn this work, we describe our method for tackling the valence-arousal estimation challenge from ABAW FG-2020 Competition.
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.
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