Training process
All pre-trained models are configured with a width multiplier of 1, have full tails, are non-dilated, and were fitted on ImageNet. Both the Large and Small variants were trained using the same hyper-parameters and scripts which can be found in our references folder. Below we provide details on the most notable aspects of the training process.
Achieving fast and stable training