I want to use PSP net for semantic segmentation. While its backbone is a pre-trained resnet50 with dilated convolutions, how can I change its architecture in tensorflow. I found some works using pytorch but nothin g using tensoflow

If I replace the convolution layers with downsampling with dilated convolutions, the weights from imagenet dataset will be preserved or not ?