41 lines
1.3 KiB
YAML
41 lines
1.3 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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URL: https://arxiv.org/abs/2011.10566
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Title: "Exploring simple siamese representation learning"
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README: configs/selfsup/simsiam/README.md
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Models:
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- Name: simsiam_resnet50_8xb32-coslr-100e_in1k
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In Collection: SimSiam
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Metadata:
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Epochs: 100
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Batch Size: 256
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Results:
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- Task: Self-Supervised Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 67.88
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Config: configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k_20211213-925d628c.pth
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- Name: simsiam_resnet50_8xb32-coslr-200e_in1k
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In Collection: SimSiam
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Metadata:
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Epochs: 200
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Batch Size: 256
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Results:
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- Task: Self-Supervised Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 69.80
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Config: configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k_20211213-b605f9f1.pth
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