ResNet with bottleneck 3x3 Convolutions substituted by 3x3 Grouped Convolutions.
Image source: Aggregated Residual Transformations for Deep Neural Networks
Image shows difference between ResNet bottleneck block and ResNeXt bottleneck block.
ResNeXt101-32x4d model's cardinality equals to 32 and bottleneck width equals to 4.
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.
This model was trained using open-source software available in Deep Learning Examples repository. For terms of use, please refer to the license of the script and the datasets the model was derived from.