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- Collections:
- - Name: ResNeXt
- Metadata:
- Training Data: ImageNet-1k
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Epochs: 100
- Batch Size: 256
- Architecture:
- - ResNeXt
- Paper:
- URL: https://openaccess.thecvf.com/content_cvpr_2017/html/Xie_Aggregated_Residual_Transformations_CVPR_2017_paper.html
- Title: "Aggregated Residual Transformations for Deep Neural Networks"
- README: configs/resnext/README.md
- Code:
- URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/resnext.py#L90
- Version: v0.15.0
- Models:
- - Name: resnext50-32x4d_8xb32_in1k
- Metadata:
- FLOPs: 4270000000
- Parameters: 25030000
- In Collection: ResNeXt
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 77.90
- Top 5 Accuracy: 93.66
- Task: Image Classification
- Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext50_32x4d_b32x8_imagenet_20210429-56066e27.pth
- Config: configs/resnext/resnext50-32x4d_8xb32_in1k.py
- - Name: resnext101-32x4d_8xb32_in1k
- Metadata:
- FLOPs: 8030000000
- Parameters: 44180000
- In Collection: ResNeXt
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 78.61
- Top 5 Accuracy: 94.17
- Task: Image Classification
- Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x4d_b32x8_imagenet_20210506-e0fa3dd5.pth
- Config: configs/resnext/resnext101-32x4d_8xb32_in1k.py
- - Name: resnext101-32x8d_8xb32_in1k
- Metadata:
- FLOPs: 16500000000
- Parameters: 88790000
- In Collection: ResNeXt
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 79.27
- Top 5 Accuracy: 94.58
- Task: Image Classification
- Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x8d_b32x8_imagenet_20210506-23a247d5.pth
- Config: configs/resnext/resnext101-32x8d_8xb32_in1k.py
- - Name: resnext152-32x4d_8xb32_in1k
- Metadata:
- FLOPs: 11800000000
- Parameters: 59950000
- In Collection: ResNeXt
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 78.88
- Top 5 Accuracy: 94.33
- Task: Image Classification
- Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext152_32x4d_b32x8_imagenet_20210524-927787be.pth
- Config: configs/resnext/resnext152-32x4d_8xb32_in1k.py
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