HUG-VIS - Emotion Recognition (Text): leaderboard
HUG-VIS (2026) records 30 professional actors performing the same 280 emotion-conditioned assignments. This board scores zero-shot seven-class emotion recognition from text input over its 8,400 clips, as accuracy in percent; higher is better.
Metric: Seven-class emotion recognition accuracy (%; 8,400 seated half-body clips of 30 professional actors, each performing the same 280 emotion-action-prompt assignments in a controlled Mandarin studio, 1,200 clips per emotion; zero-shot; input: text). Source: arxiv.org. Saturation forecast: Estimated already saturated. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V3.2 | 82.93 | #406 |
| 2 | Qwen 3 32B | 82.45 | #960 |
| 3 | Qwen 2.5 7B Instruct | 78.32 | #2564 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=hug-vis-emotion-recognition-text · How It Works · Data refreshed daily, snapshot 2026-11-13.