ResNeXt with Squeeze-and-Excitation module added.
Image source: Squeeze-and-Excitation Networks
Image shows the architecture of SE block and where is it placed in ResNet bottleneck block.
This model was trained using script available on NGC and in GitHub repo
The following datasets were used to train this model:
Performance numbers for this model are available in NGC