Sign Language Recognition on WLASL 100 (test)
66.7Top-1 AccuracyMCG-NJU/videomae-base-finetuned-kinetics
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MCG-NJU/videomae-base-finetuned-kineticsBackbone=VideoMAE-base, Finetuning=Kinetics2025.06 | 66.7 | — | 88 | 93.8 | |
| I3D2025.06 | 65.89 | — | 84.11 | 89.92 | |
| google/vivit-b-16x2-kinetics400Backbone=ViViT-B-16x2, Pre-training=Kinetics4002025.06 | 57.36 | — | 86.05 | 92.25 | |
| facebook/timesformer-base-finetuned-k400Backbone=TimeSformer-base, Finetuned=K4002025.06 | 56.97 | — | 84.5 | 90.31 | |
| Pose-TGCN2025.06 | 55.43 | — | 78.68 | 87.6 | |
| MCG-NJU/videomae-baseBackbone=VideoMAE-base2025.06 | 51.55 | — | 78.68 | 86.05 | |
| Pose-GRU2025.06 | 46.51 | — | 76.74 | 85.66 | |
| VGG-GRU2025.06 | 25.97 | — | 55.04 | 63.95 | |
| EnsAug2026.03 | — | 72.8 | — | — | |
| GCN-BERT2026.03 | — | 60.15 | — | — | |
| P-DTW2026.03 | — | 61.1 | — | — | |
| Pose-GRU2026.03 | — | 46.51 | — | — | |
| Pose-TGCN2026.03 | — | 55.43 | — | — | |
| Spoter2026.03 | — | 46.51 | — | — |