Action Recognition on Jester (test)
96.22Top-1 AccuracyMFNet-C101
Evaluation results
| Method | Links | |
|---|---|---|
| MFNet-C101Backbone=ResNet-101, K=10, training=from scratch2018.07 | 96.22 | |
| MultiScale TRNsource=[37]2018.07 | 94.78 | |
| ResNetsource=[37]2018.07 | 94.23 |
| Method | Links | |
|---|---|---|
| MFNet-C101Backbone=ResNet-101, K=10, training=from scratch2018.07 | 96.22 | |
| MultiScale TRNsource=[37]2018.07 | 94.78 | |
| ResNetsource=[37]2018.07 | 94.23 |