I would like to reproduce the reported accuracies of pre-trained segmentation models 1.
I executed the training code from references under default parameters with dataset coco. The trained DeepLabV3 ResNet101 reaches in the validation-set about 60% IoU (with and without the auxiliary loss). This is much lower than the reported 67.4%.
I do appreciate any help on this issue. Thanks a lot in advance :).