29 lines
901 B
YAML
29 lines
901 B
YAML
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Collections:
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- Name: DenseCL
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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/2011.09157
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Title: "Dense contrastive learning for self-supervised visual pre-training"
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README: configs/selfsup/densecl/README.md
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Models:
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- Name: densecl_resnet50_8xb32-coslr-200e_in1k
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In Collection: DenseCL
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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: 63.34
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Config: configs/selfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k_20211214-1efb342c.pth
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