“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

For example, object detection deep learning models are very sensitive to image size and their performance drops rapidly when the input resolution is reduced.