28 lines
862 B
YAML
28 lines
862 B
YAML
Collections:
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- Name: CAE
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Metadata:
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Training Data: ImageNet-1k
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Training Techniques:
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- AdamW
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Training Resources: 8x A100-80G GPUs
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Architecture:
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- ViT
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Paper:
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URL: https://arxiv.org/abs/2202.03026
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Title: "Context Autoencoder for Self-Supervised Representation Learning"
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README: configs/selfsup/cae/README.md
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Models:
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- Name: cae_vit-base-p16_8xb256-fp16-coslr-300e_in1k
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In Collection: CAE
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Metadata:
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Epochs: 300
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Batch Size: 2048
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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: 83.2
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Config: configs/selfsup/cae/cae_vit-base-p16_8xb256-fp16-coslr-300e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/cae/cae_vit-base-p16_16xb256-coslr-300e_in1k-224_20220427-4c786349.pth
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