Video Classificator CNN
Lite version of the following Oxford project: Large-scale Video Classification with Convolutional Neural Networks.
Choosen Sport Labels
|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|
Summary
|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 |