Facial Action Unit Detection on DISFA (test)
72.7Avg AU ScoreNorface
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Norface2024.07 | 72.7 | 76.4 | 66.1 | 74.2 | 58.5 | 57.2 | 81.7 | 97.6 | 69.6 | — | 15.8 | |
| FMAE-IATVenue=(ours)2024.07 | 70.1 | 64.7 | 61.3 | 70.8 | 58.1 | 59.4 | 79.9 | 95.2 | 71.3 | — | — | |
| FMAEVenue=(ours)2024.07 | 68.7 | 62.7 | 59.5 | 67.3 | 55.6 | 61.8 | 77.9 | 95 | 69.8 | — | — | |
| LGRNet2024.07 | 67.3 | 62.6 | 64.4 | 72.5 | 46.6 | 48.8 | 75.7 | 94.4 | 73 | — | 10.4 | |
| GPT-4VVenue=CVPRW'242024.07 | 67.3 | 52.6 | 56.4 | 82.9 | 64.3 | 55.3 | 75.4 | 91.2 | 66.4 | — | — | |
| AUFormerVenue=ECCV'242024.07 | 66.4 | — | — | — | — | — | — | — | — | — | — | |
| MDHRMethod category=Spatio-temporal, Backbone=Swin-B2024.04 | 66.2 | 65.4 | 60.2 | 75.2 | 50.2 | 52.4 | 74.3 | 93.7 | 58.2 | — | — | |
| MDHRVenue=CVPR'242024.07 | 66.2 | 65.4 | 60.2 | 75.2 | 50.2 | 52.4 | 74.3 | 93.7 | 58.2 | — | — | |
| GLEE-Net2024.07 | 65.5 | 61.9 | 54 | 75.8 | 45.9 | 55.7 | 77.6 | 92.9 | 60 | — | 8.6 | |
| SACLVenue=TAC'232024.07 | 65.5 | 62 | 65.7 | 74.5 | 53.2 | 43.1 | 76.9 | 95.6 | 53.1 | — | — | |
| MDHRMethod category=Spatio-temporal, Backbone=ResNet-502024.04 | 64.9 | 61.4 | 57.7 | 70.9 | 57.1 | 48.3 | 75.7 | 91.5 | 56.7 | — | — | |
| CLEFVenue=ICCV'232024.07 | 64.8 | 64.3 | 61.8 | 68.4 | 49 | 55.2 | 72.9 | 89.9 | 57 | — | — | |
| WSRTLMethod category=Spatio-temporal2024.04 | 64.6 | 57.3 | 51.8 | 74.3 | 49.8 | 44.8 | 79.3 | 94.6 | 64.6 | — | — | |
| KSRLVenue=CVPR'222024.07 | 64.5 | 60.4 | 59.2 | 67.5 | 52.7 | 51.5 | 76.1 | 91.3 | 57.7 | — | — | |
| SMA-NetMethod category=Static image-based2024.04 | 64.2 | 53.4 | 54.2 | 64 | 57 | 47 | 76.6 | 92 | 55.2 | — | — | |
| FAN-TransMethod category=Static AU relationship modeling2024.04 | 63.8 | 56.4 | 50.2 | 68.6 | 49.2 | 57.6 | 75.6 | 93.6 | 58.8 | — | — | |
| PIAPVenue=ICCV'212024.07 | 63.8 | 50.2 | 51.8 | 71.9 | 50.6 | 54.5 | 79.7 | 94.1 | 57.2 | — | — | |
| JAA-Net2024.07 | 63.5 | 62.4 | 60.7 | 67.1 | 41.1 | 45.1 | 73.5 | 90.9 | 67.4 | — | 6.6 | |
| ME-GraphAUMethod category=Static AU relationship modeling2024.04 | 63.1 | 54.6 | 47.1 | 72.9 | 54 | 55.7 | 76.7 | 91.1 | 53 | — | — | |
| ANFLVenue=IJCAI'222024.07 | 63.1 | 54.6 | 47.1 | 72.9 | 54 | 55.7 | 76.7 | 91.1 | 53 | — | — | |
| STRALMethod category=Spatio-temporal2024.04 | 63 | 52.2 | 47.4 | 68.9 | 47.8 | 56.7 | 72.5 | 91.3 | 67.6 | — | — | |
| HSTR-NetMethod category=Spatio-temporal2024.04 | 62.9 | 54.3 | 50.8 | 70.1 | 66.6 | 59.6 | 68 | 97.9 | 69.8 | — | — | |
| KSMethod category=Spatio-temporal2024.04 | 62.8 | 53.8 | 59.9 | 69.2 | 54.2 | 50.8 | 75.8 | 92.2 | 46.8 | — | — | |
| KSVenue=ICCV'232024.07 | 62.8 | 53.8 | 59.9 | 69.2 | 54.2 | 50.8 | 75.8 | 92.2 | 46.8 | — | — | |
| FAUDTMethod category=Static AU relationship modeling2024.04 | 61.5 | 46.1 | 48.6 | 72.8 | 56.7 | 50 | 72.1 | 90.8 | 55.4 | — | — | |
| FAUTVenue=CVPR'212024.07 | 61.5 | 46.1 | 48.6 | 72.8 | 56.7 | 50 | 72.1 | 90.8 | 55.4 | — | — | |
| ARLMethod category=Static image-based2024.04 | 58.7 | 43.9 | 42.1 | 63.6 | 41.8 | 40 | 76.2 | 95.2 | 66.8 | — | — | |
| ActFERProtocol=zero-shot, Model parameters=4B2026.04 | 58.2 | 37.1 | 38.2 | 77.3 | 58.2 | 52.3 | 78 | 92.4 | 32 | — | — | |
| LP-Net2024.07 | 56.9 | 29.9 | 24.7 | 72.7 | 46.8 | 49.6 | 72.9 | 93.8 | 56 | — | 0 | |
| JAA-NetMethod category=Static image-based2024.04 | 56 | 43.7 | 46.2 | 56 | 41.4 | 44.7 | 69.6 | 88.3 | 58.4 | — | — | |
| SRERLMethod category=Static AU relationship modeling2024.04 | 55.9 | 45.7 | 47.8 | 59.6 | 47.1 | 45.6 | 73.5 | 84.3 | 43.6 | — | — | |
| AU R-CNNbackbone=ResNet2018.12 | 51.3 | 32.1 | 25.9 | 59.8 | 55.3 | 39.8 | 67.7 | 77.4 | 52.6 | — | — | |
| AU R-CNNbackbone=VGG192018.12 | 50.7 | 26.9 | 21 | 59.6 | 56.5 | 46 | 67.7 | 79.8 | 47.6 | — | — | |
| AU R-CNNbackbone=VGG162018.12 | 48.6 | 24.9 | 23.5 | 55.5 | 51 | 41.8 | 68 | 74.9 | 49.4 | — | — | |
| ActFER-SFTProtocol=zero-shot, Model parameters=4B, Training=Supervised Fine-Tuning2026.04 | 48.6 | 30.2 | 30.8 | 70.2 | 51.4 | 44.1 | 67.7 | 82 | 12.5 | — | — | |
| ROI-Nets2018.12 | 48.5 | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | — | — | |
| EAC-NetMethod category=Static image-based2024.04 | 48.5 | 41.5 | 26.4 | 66.4 | 50.7 | 80.5 | 89.3 | 88.9 | 15.6 | — | — | |
| CNNresbackbone=ResNet2018.12 | 47.6 | 26.3 | 23.4 | 51.2 | 48.1 | 29.9 | 69.4 | 80.1 | 52.4 | — | — | |
| FEALLMProtocol=zero-shot, Model parameters=7B2026.04 | 42.6 | 36.9 | 29.7 | 70.4 | 30.2 | — | 54.5 | 51.9 | 24.7 | — | — | |
| InternVL3.5-4B*Protocol=zero-shot, Model parameters=4B2026.04 | 40.8 | 36.9 | 40.7 | 71.8 | 2.1 | 35.3 | 67.6 | 67.2 | 4.6 | — | — | |
| Qwen3VL-4B*Protocol=zero-shot, Model parameters=4B2026.04 | 38.1 | 24.7 | 27.1 | 76.7 | 3.1 | 0 | 73.7 | 80.7 | 18.6 | — | — | |
| DRML2018.12 | 26.7 | 17.3 | 17.7 | 37.4 | 29 | 10.7 | 37.7 | 38.5 | 20.1 | — | — | |
| APL2018.12 | 23.8 | 11.4 | 12 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.9 | — | — | |
| Qwen2.5VL-7BProtocol=zero-shot, Model parameters=7B2026.04 | 22.1 | 20.8 | 19.2 | 23 | 17.9 | 17.1 | 26.3 | 30.9 | 21.6 | — | — | |
| LSVM2018.12 | 21.8 | 10.8 | 10 | 21.8 | 15.7 | 11.5 | 70.4 | 12 | 22.1 | — | — | |
| FVGGmode=fine-tuned2019.09 | — | — | — | — | — | — | — | — | — | 52 | — | |
| MT-VGGTraining Database=Aff-Wild22019.09 | — | — | — | — | — | — | — | — | — | 61 | — | |
| R-TI2019.09 | — | — | — | — | — | — | — | — | — | 60 | — |