44 lines
1.6 KiB
YAML
44 lines
1.6 KiB
YAML
Collections:
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- Name: MaskFeat
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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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Title: Masked Feature Prediction for Self-Supervised Visual Pre-Training
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URL: https://arxiv.org/abs/2112.09133v1
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README: configs/maskfeat/README.md
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Models:
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- Name: maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k
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Metadata:
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Epochs: 300
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Batch Size: 2048
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FLOPs: 17581972224
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Parameters: 85882692
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Training Data: ImageNet-1k
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In Collection: MaskFeat
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Results: null
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Weights: https://download.openmmlab.com/mmselfsup/1.x/maskfeat/maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k/maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k_20221101-6dfc8bf3.pth
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Config: configs/maskfeat/maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k.py
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Downstream:
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- vit-base-p16_maskfeat-pre_8xb256-coslr-100e_in1k
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- Name: vit-base-p16_maskfeat-pre_8xb256-coslr-100e_in1k
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Metadata:
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Epochs: 100
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Batch Size: 2048
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FLOPs: 17581215744
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Parameters: 86566120
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Training Data: ImageNet-1k
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In Collection: MaskFeat
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Results:
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- Task: Image Classification
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.4
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Weights: https://download.openmmlab.com/mmselfsup/1.x/maskfeat/maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k/vit-base-p16_ft-8xb256-coslr-100e_in1k/vit-base-p16_ft-8xb256-coslr-100e_in1k_20221028-5134431c.pth
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Config: configs/maskfeat/benchmarks/vit-base-p16_8xb256-coslr-100e_in1k.py
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