Action Recognition on HMDB51 (all splits)
80.7AccuracyTwo-Stream I3D
Evaluation Results
| Method | Links | |
|---|---|---|
| Two-Stream I3DPre-train dataset=ImageNet & Kinetics, Input frames=64f2018.12 | 80.7 | |
| LGD-3D Two-streamPretraining=ImageNet+Kinetics-6002019.06 | 80.5 | |
| I3D Two-streamPretraining=ImageNet+Kinetics-4002019.06 | 80.2 | |
| LGD-3D FlowPretraining=ImageNet+Kinetics-6002019.06 | 78.9 | |
| Two-Stream R(2+1)DPre-train dataset=Kinetics2018.12 | 78.7 | |
| R(2+1)D Two-streamPretraining=Kinetics-4002019.06 | 78.7 | |
| R(2+1)D FlowPretraining=Kinetics-4002019.06 | 76.4 | |
| S3D-G RGBPretraining=ImageNet+Kinetics-4002019.06 | 75.9 | |
| LGD-3D RGBPretraining=ImageNet+Kinetics-6002019.06 | 75.7 | |
| I3D FlowPretraining=ImageNet+Kinetics-4002019.06 | 74.6 | |
| R(2+1)D-RGBPre-train dataset=Kinetics2018.12 | 74.5 | |
| I3D RGBPretraining=ImageNet+Kinetics-4002019.06 | 74.5 | |
| R(2+1)D RGBPretraining=Kinetics-4002019.06 | 74.5 | |
| ResNeXt-101 RGBPretraining=Kinetics-4002019.06 | 70.2 | |
| TSNPretraining=ImageNet2019.06 | 69.4 | |
| Two-Stream STM-NetsPre-train dataset=ImageNet2018.12 | 68.9 | |
| Two-Stream TSNPre-train dataset=ImageNet2018.12 | 68.5 | |
| ARTNetPre-train dataset=Kinetics2018.12 | 67.6 | |
| RGB I3DPre-train dataset=ImageNet & miniKinetics, Input frames=64f2018.12 | 66.4 | |
| 3D ResNeXt-101Pre-train dataset=Kinetics2018.12 | 63.8 | |
| SUSiNetPre-train dataset=Kinetics, Number of tasks=multi2018.12 | 62.7 | |
| IDTPretraining=N/A2019.06 | 61.7 | |
| 3D ResNet-50Pre-train dataset=Kinetics2018.12 | 61 | |
| SUSiNetPre-train dataset=Kinetics, Number of tasks=1-task2018.12 | 60.2 | |
| Two-streamPretraining=ImageNet2019.06 | 59.4 | |
| FSTCNPre-train dataset=ImageNet2018.12 | 59.1 | |
| 3D ResNet-18Pre-train dataset=Kinetics2018.12 | 56.4 | |
| C3DPre-train dataset=Sports-1M2018.12 | 51.6 |