73 lines
2.7 KiB
YAML
73 lines
2.7 KiB
YAML
Collections:
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- Name: SimSiam
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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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Training Resources: 8x V100 GPUs
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Architecture:
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- ResNet
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Paper:
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Title: Exploring simple siamese representation learning
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URL: https://arxiv.org/abs/2011.10566
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README: configs/simsiam/README.md
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Models:
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- Name: simsiam_resnet50_8xb32-coslr-100e_in1k
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Metadata:
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Epochs: 100
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Batch Size: 256
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FLOPs: 4109364224
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Parameters: 38199360
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Training Data: ImageNet-1k
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In Collection: SimSiam
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Results: null
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Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k/simsiam_resnet50_8xb32-coslr-100e_in1k_20220825-d07cb2e6.pth
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Config: configs/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py
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Downstream:
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- resnet50_simsiam-100e-pre_8xb512-linear-coslr-90e_in1k
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- Name: simsiam_resnet50_8xb32-coslr-200e_in1k
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Metadata:
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Epochs: 200
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Batch Size: 256
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FLOPs: 4109364224
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Parameters: 38199360
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Training Data: ImageNet-1k
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In Collection: SimSiam
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Results: null
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Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k/simsiam_resnet50_8xb32-coslr-200e_in1k_20220825-efe91299.pth
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Config: configs/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py
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Downstream:
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- resnet50_simsiam-200e-pre_8xb512-linear-coslr-90e_in1k
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- Name: resnet50_simsiam-100e-pre_8xb512-linear-coslr-90e_in1k
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Metadata:
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Epochs: 90
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Batch Size: 4096
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FLOPs: 4109464576
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Parameters: 25557032
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Training Data: ImageNet-1k
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In Collection: SimSiam
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Results:
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- Task: Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 68.3
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Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k/resnet50_linear-8xb512-coslr-90e_in1k/resnet50_linear-8xb512-coslr-90e_in1k_20220825-f53ba400.pth
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Config: configs/simsiam/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py
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- Name: resnet50_simsiam-200e-pre_8xb512-linear-coslr-90e_in1k
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Metadata:
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Epochs: 90
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Batch Size: 4096
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FLOPs: 4109464576
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Parameters: 25557032
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Training Data: ImageNet-1k
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In Collection: SimSiam
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Results:
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- Task: Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 69.8
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Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k/resnet50_linear-8xb512-coslr-90e_in1k/resnet50_linear-8xb512-coslr-90e_in1k_20220825-519b5135.pth
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Config: configs/simsiam/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py
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