Lite version of the following Oxford project: Large-scale Video Classification with Convolutional Neural Networks
| Label ID | Label Name |
|---|---|
| 398 | rugby |
| 300 | formula racing |
| 361 | beach volleyball |
| 368 | basketball |
| 415 | karate |
| 277 | motocross |
| 111 | kitesurfing |
| 269 | motorcycle racing |
| 258 | horse racing |
| 200 | bodybuilding |
- Single Frame
- Single Frame Context
- Single Frame Fovea
- Single Frame Multiresolution
- Multi Frame Early Fusion
- Multi Frame Late Fusion
- Multi Frame Slow Fusion
| Model Name | Test Loss | Test Accuracy Score | Testing Time in minutes | Training Time in hours |
|---|---|---|---|---|
| SingleResCNN-Stream_Type_None | 0.96767 | 0.71325 | 0.37903 | 1.53495 |
| SingleResCNN-Stream_Type_fovea | 1.26127 | 0.58379 | 0.17914 | 1.20548 |
| SingleResCNN-Stream_Type_context | 1.17831 | 0.65533 | 0.16217 | 1.16977 |
| MultiResCNN | 1.12028 | 0.63378 | 0.13316 | 1.52294 |
| LateFusionCNN | 1.05671 | 0.69669 | 0.37975 | 3.01682 |
| EarlyFusionCNN | 1.08308 | 0.67226 | 0.67731 | 3.79941 |
| SlowFusionCNN | 1.27412 | 0.6623 | 1.42234 | 7.80681 |