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833152b1f4
* Update README according to OpenMMLab standard. * Update model zoo docs generation. * Revert modification for paperlink
48 lines
1.5 KiB
YAML
48 lines
1.5 KiB
YAML
Collections:
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- Name: MobileNet V3
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Metadata:
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Training Data: ImageNet-1k
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Training Techniques:
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- RMSprop with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Epochs: 600
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Batch Size: 1024
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Architecture:
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- MobileNet V3
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Paper:
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URL: https://arxiv.org/abs/1905.02244
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Title: Searching for MobileNetV3
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README: configs/mobilenet_v3/README.md
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Code:
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/mobilenet_v3.py
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Version: v0.15.0
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Models:
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- Name: mobilenet_v3_small_imagenet
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Metadata:
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FLOPs: 60000000
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Parameters: 2540000
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In Collection: MobileNet V3
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 67.66
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Top 5 Accuracy: 87.41
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/convert/mobilenet_v3_small-8427ecf0.pth
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Config: configs/mobilenet_v3/mobilenet-v3-small_8xb32_in1k.py
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- Name: mobilenet_v3_large_imagenet
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Metadata:
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FLOPs: 230000000
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Parameters: 5480000
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In Collection: MobileNet V3
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 74.04
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Top 5 Accuracy: 91.34
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/convert/mobilenet_v3_large-3ea3c186.pth
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Config: configs/mobilenet_v3/mobilenet-v3-large_8xb32_in1k.py
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