29 lines
916 B
YAML
29 lines
916 B
YAML
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Collections:
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- Name: SwAV
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Metadata:
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Training Data: ImageNet-1k
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Training Techniques:
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- LARS
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Training Resources: 8x V100 GPUs
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Architecture:
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- ResNet
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- SwAV
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Paper:
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URL: https://arxiv.org/abs/2006.09882
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Title: "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments"
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README: configs/selfsup/swav/README.md
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Models:
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- Name: swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96
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In Collection: SwAV
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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: 70.55
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Config: configs/selfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96.py
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Weights: https://download.openmmlab.com/mmselfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96_20211213-0028900c.pth
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