30 lines
901 B
YAML
30 lines
901 B
YAML
Collections:
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- Name: NPID
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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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- NPID
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Paper:
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URL: https://arxiv.org/abs/1805.01978
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Title: "Unsupervised Feature Learning via Non-Parametric Instance Discrimination"
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README: configs/selfsup/npid/README.md
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Models:
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- Name: npid_resnet50_8xb32-steplr-200e_in1k
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In Collection: NPID
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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: 58.16
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Config: configs/selfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k_20211213-b5fec6df.pth
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