dnn-architecture

This paper proposes a latency-oriented neural network learning method that uses zerorized batch normalization to optimize DNN architectures for edge systems under strict latency constraints. Experiments show significant latency reduction with minimal accuracy loss on NVIDIA Jetson devices.