In order to ensure safety in autonomous driving, it is necessary to perform object detection in real-time. Nevertheless, GPUs used in self-driving cars have to be cheap and power-efficient. It makes currently used object detection techniques incapable of performing this task.
A recent paper suggests combining network enhancement and pruning search with reinforcement learning. That way, the framework automatically generates unified schemes of network enhancement and pruning. The performance of models generated under the schemes is then fed back to the generator.
The system is flexible and can be customized down to the