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https://github.com/open-mmlab/mmselfsup.git
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37 lines
1.4 KiB
YAML
37 lines
1.4 KiB
YAML
Collections:
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- Name: RotationPrediction
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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/1803.07728
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Title: "Unsupervised representation learning by predicting image rotations"
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README: configs/selfsup/rotation_pred/README.md
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Models:
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- Name: rotation-pred_resnet50_8xb16-steplr-70e_in1k
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In Collection: RotationPrediction
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Metadata:
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Epochs: 70
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Batch Size: 128
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Results: null
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Config: configs/selfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/1.x/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k/rotation-pred_resnet50_8xb16-steplr-70e_in1k_20220825-a8bf5f69.pth
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Downstream:
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- Type: Image Classification
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Metadata:
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Epochs: 100
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Batch Size: 256
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Results:
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- Task: Linear Evaluation
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Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 47.0
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Config: configs/benchmarks/classification/imagenet/resnet50_linear-8xb32-steplr-100e_in1k.py
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Weights: https://download.openmmlab.com/mmselfsup/1.x/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k/resnet50_linear-8xb32-steplr-100e_in1k/resnet50_linear-8xb32-steplr-100e_in1k_20220825-7c6edcb3.pth
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