The same backbone, one convergent and one divergent
I am training resnet, one implemented by mmdet and one by torchvision.As a result, mmdet cannot converge, but torchvision converges.I checked both architectures and they are identical. They use the same hyperparameters.
The same backbone, one convergent and one divergent
I am training resnet, one implemented by mmdet and one by torchvision.As a result, mmdet cannot converge, but torchvision converges.I checked both architectures and they are identical. They use the same hyperparameters.
Difference between pytorch timm models for
Pytorch timm model