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metafile.yml
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Collections:
- Name: BYOT
Metadata:
Training Data:
- CIFAR100
Paper:
URL: https://arxiv.org/pdf/2107.06916.pdf
Title: Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
README: configs/distill/mmcls/byot/README.md
Converted From:
Code:
URL: https://github.com/luanyunteng/pytorch-be-your-own-teacher
Models:
- Name: byot_resnet18_8xb16_cifar100
In Collection: BYOT
Metadata:
inference time (ms/im):
- value: 0.62
hardware: V100
backend: PyTorch
batch size: 16
mode: FP32
resolution: (32, 32)
Results:
- Task: Classification
Dataset: CIFAR100
Metrics:
Top 1 Accuracy: 80.66
Top 5 Accuracy: 95.76
Weights: https://download.openmmlab.com/mmrazor/v1/byot/byot_resnet18_8xb16_cifar100_20220817_191217-0251084e.pth
Config: configs/distill/mmcls/byot/byot_resnet18_8xb16_cifar100.py