36 lines
1.2 KiB
YAML
36 lines
1.2 KiB
YAML
Collections:
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- Name: Shufflenet V1
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Metadata:
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Training Data: ImageNet-1k
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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- No BN decay
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Training Resources: 8x 1080 GPUs
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Epochs: 300
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Batch Size: 1024
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Architecture:
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- Shufflenet V1
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Paper:
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URL: https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_ShuffleNet_An_Extremely_CVPR_2018_paper.html
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Title: "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
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README: configs/shufflenet_v1/README.md
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Code:
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URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/shufflenet_v1.py#L152
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Version: v0.15.0
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Models:
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- Name: shufflenet-v1-1x_16xb64_in1k
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Metadata:
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FLOPs: 146000000
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Parameters: 1870000
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In Collection: Shufflenet V1
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 68.13
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Top 5 Accuracy: 87.81
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/shufflenet_v1/shufflenet_v1_batch1024_imagenet_20200804-5d6cec73.pth
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Config: configs/shufflenet_v1/shufflenet-v1-1x_16xb64_in1k.py
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