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metafile.yml
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Collections:
- Name: LSQ
README: configs/quantization/qat/lsq/README.md
Models:
- Name: lsq_openvino_resnet18_8xb32_10e_in1k.py
In Collection: LSQ
Metadata:
Backend: openvino
Float Model:
Config: mmcls::resnet/resnet18_8xb32_in1k.py
Weights: https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth
Metrics:
Top 1 Accuracy: 69.90
Results:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 69.418
Config: configs/quantization/qat/lsq/lsq_openvino_resnet18_8xb32_10e_in1k.py
Weights: https://download.openmmlab.com/mmrazor/v1/quantization/qat/openvino/lsq_openvino_resnet18_8xb32_10e_in1k_20230413_224237-36eac1f1.pth
- Name: lsq_openvino_resnet18_8xb32_100e_in1k.py
In Collection: LSQ
Metadata:
Backend: openvino
Float Model:
Config: mmcls::resnet/resnet18_8xb32_in1k.py
Weights: https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth
Metrics:
Top 1 Accuracy: 69.90
Results:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 69.992
Config: configs/quantization/qat/lsq/lsq_openvino_resnet18_8xb32_100e_in1k.py
Weights: https://download.openmmlab.com/mmrazor/v1/quantization/qat/openvino/lsq_openvino_resnet18_8xb32_100e_in1k_20230402_173316-ca5993bf.pth