| 模型名称 | 预训练特征 | 观测比例 | |||||||||
| 0%~ 10% | 10%~ 20% | 20%~ 30% | 30%~ 40% | 40%~ 50% | 50%~ 60% | 60%~ 70% | 70%~ 80% | 80%~ 90% | 90%~ 100% | ||
| TRN [5] | ActivityNet | 78.8 | 79.6 | 80.4 | 81.0 | 81.6 | 81.9 | 82.3 | 82.7 | 82.9 | 83.3 |
| IDN [6] | 80.6 | 81.1 | 81.9 | 82.3 | 82.6 | 82.8 | 82.6 | 82.9 | 83.0 | 83.9 | |
| TFN [10] | 83.1 | 84.4 | 85.4 | 85.8 | 87.1 | 88.4 | 87.6 | 87.0 | 86.7 | 85.6 | |
| OadTR [7] | 79.5 | 83.9 | 86.4 | 85.4 | 86.4 | 87.9 | 87.3 | 87.3 | 85.9 | 84.6 | |
| Colar [9] | 80.2 | 84.4 | 87.1 | 85.8 | 86.9 | 88.5 | 88.1 | 87.7 | 86.6 | 85.1 | |
| LSTR [8] | 83.6 | 85.0 | 86.3 | 87.0 | 87.8 | 88.5 | 88.6 | 88.9 | 89.0 | 88.9 | |
| IDN [6] | Kinetics | 81.7 | 81.9 | 83.1 | 82.9 | 83.2 | 83.2 | 83.2 | 83.0 | 83.3 | 86.6 |
| PKD [30] | 82.1 | 83.5 | 86.1 | 87.2 | 88.3 | 88.4 | 89.0 | 88.7 | 88.9 | 87.7 | |
| OadTR [7] | 81.2 | 84.9 | 87.4 | 87.7 | 88.2 | 89.9 | 88.9 | 88.8 | 87.6 | 86.7 | |
| Colar [9] | 82.3 | 85.7 | 88.6 | 88.7 | 88.8 | 91.2 | 89.6 | 89.9 | 88.6 | 87.3 | |
| LSTR [8] | 84.4 | 85.6 | 87.2 | 87.8 | 88.8 | 89.4 | 89.6 | 89.9 | 90.0 | 90.1 | |
| GateHub [22] | 84.5 | 87.6 | 89.5 | 90.0 | 90.2 | 91.0 | 91.3 | 91.3 | 91.3 | 90.7 | |