2021-04-28 17:07:26 +08:00
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Collections:
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- Name: Shufflenet V2
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Metadata:
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2021-07-01 20:50:42 +08:00
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Training Data: ImageNet-1k
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2021-04-28 17:07:26 +08:00
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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 V2
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Paper: https://openaccess.thecvf.com/content_ECCV_2018/papers/Ningning_Light-weight_CNN_Architecture_ECCV_2018_paper.pdf
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README: configs/shufflenet_v2/README.md
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Models:
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2021-07-01 20:50:42 +08:00
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- Name: shufflenet_v2_1x_b64x16_linearlr_bn_nowd_imagenet
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Metadata:
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FLOPs: 149000000
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Parameters: 2280000
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In Collection: Shufflenet V2
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 69.55
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Top 5 Accuracy: 88.92
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/shufflenet_v2/shufflenet_v2_batch1024_imagenet_20200812-5bf4721e.pth
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Config: configs/shufflenet_v2/shufflenet_v2_1x_b64x16_linearlr_bn_nowd_imagenet.py
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