Open-Vocabulary Fine-Grained Emotion Recognition on OV-MERD
55.52Coarse-grained F1HyDRA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HyDRA#PARAMS=0.5B2026.03 | 55.52 | 30.48 | |
| MPLUG-OWL#PARAMS=7B2026.03 | 46.28 | 27.32 | |
| AFFECTGPT#PARAMS=7B2026.03 | 44.98 | 28.65 | |
| VIDEOCHAT#PARAMS=7B2026.03 | 43.48 | 24.3 | |
| CHAT-UNIVI#PARAMS=7B2026.03 | 43.33 | 23.9 | |
| PANDAGPT#PARAMS=7B2026.03 | 41.97 | 22.86 | |
| LLAMA-VID#PARAMS=7B2026.03 | 40.89 | 21.6 | |
| VIDEO-CHATGPT#PARAMS=7B2026.03 | 35.29 | 19.77 | |
| BASELINE#PARAMS=7B2026.03 | 34.09 | 18.49 | |
| VIDEOCHAT2#PARAMS=7B2026.03 | 34.07 | 17.78 | |
| R1-OMNI#PARAMS=0.5B2026.03 | 32.8 | 18.85 | |
| BASELINE#PARAMS=0.5B2026.03 | 30.98 | 17.58 | |
| VIDEO-LLAVA#PARAMS=7B2026.03 | 27.4 | 12.18 | |
| OTTER#PARAMS=7B2026.03 | 14.64 | 4.46 |