Action Recognition on Kinetics-400 Nov. 2018 (val)
77.2AccuracyEvaNet
Evaluation Results
| Method | Links | |
|---|---|---|
| EvaNetAggregation=Ensemble2018.11 | 77.2 | |
| Top 1Aggregation=Individual2018.11 | 76.4 | |
| Two-stream S3D-GMode=Two-stream2018.11 | 76.2 | |
| Top 3Aggregation=Individual2018.11 | 75.7 | |
| Top 2Aggregation=Individual2018.11 | 75.5 | |
| Arch. EnsembleAggregation=Ensemble, Components=I3D, ResNet-50, ResNet-1012018.11 | 75.4 | |
| Diverse EnsembleAggregation=Ensemble, Components=3D Conv, (2+1)D Conv, iTGM Conv2018.11 | 75.3 | |
| iTGM-EnsembleAggregation=Ensemble2018.11 | 74.7 | |
| 3D-EnsembleAggregation=Ensemble2018.11 | 74.6 | |
| iTGM Conv2018.11 | 74.4 | |
| (2+1)D Conv2018.11 | 74.3 | |
| ResNet-50 + Non-localBackbone=ResNet-50, Components=Non-local2018.11 | 73.5 | |
| ResNet-101 (2+1)DBackbone=ResNet-1012018.11 | 72.8 | |
| 3D Conv2018.11 | 72.6 | |
| Two-stream I3DMode=Two-stream2018.11 | 72.6 | |
| Random EnsembleAggregation=Ensemble2018.11 | 72.6 | |
| ResNet-50 (2+1)DBackbone=ResNet-502018.11 | 72.1 |