mmpretrain/configs/mobileone/metafile.yml

84 lines
2.8 KiB
YAML

Collections:
- Name: MobileOne
Metadata:
Training Data: ImageNet-1k
Architecture:
- re-parameterization Convolution
- VGG-style Neural Network
- Depthwise Convolution
- Pointwise Convolution
Paper:
URL: https://arxiv.org/abs/2206.04040
Title: 'An Improved One millisecond Mobile Backbone'
README: configs/mobileone/README.md
Code:
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/mobileone/metafile.yml
Version: v1.0.0rc1
Models:
- Name: mobileone-s0_8xb32_in1k
In Collection: MobileOne
Config: configs/mobileone/mobileone-s0_8xb32_in1k.py
Metadata:
FLOPs: 274136576 # 0.27G
Parameters: 2078504 # 2.08M
Results:
- Dataset: ImageNet-1k
Task: Image Classification
Metrics:
Top 1 Accuracy: 71.34
Top 5 Accuracy: 89.87
Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s0_8xb32_in1k_20221110-0bc94952.pth
- Name: mobileone-s1_8xb32_in1k
In Collection: MobileOne
Config: configs/mobileone/mobileone-s1_8xb32_in1k.py
Metadata:
FLOPs: 823839744 # 8.6G
Parameters: 4764840 # 4.82M
Results:
- Dataset: ImageNet-1k
Task: Image Classification
Metrics:
Top 1 Accuracy: 75.72
Top 5 Accuracy: 92.54
Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s1_8xb32_in1k_20221110-ceeef467.pth
- Name: mobileone-s2_8xb32_in1k
In Collection: MobileOne
Config: configs/mobileone/mobileone-s2_8xb32_in1k.py
Metadata:
FLOPs: 1296478848
Parameters: 7808168
Results:
- Dataset: ImageNet-1k
Task: Image Classification
Metrics:
Top 1 Accuracy: 77.37
Top 5 Accuracy: 93.34
Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s2_8xb32_in1k_20221110-9c7ecb97.pth
- Name: mobileone-s3_8xb32_in1k
In Collection: MobileOne
Config: configs/mobileone/mobileone-s3_8xb32_in1k.py
Metadata:
FLOPs: 1893842944
Parameters: 10078312
Results:
- Dataset: ImageNet-1k
Task: Image Classification
Metrics:
Top 1 Accuracy: 78.06
Top 5 Accuracy: 93.83
Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s3_8xb32_in1k_20221110-c95eb3bf.pth
- Name: mobileone-s4_8xb32_in1k
In Collection: MobileOne
Config: configs/mobileone/mobileone-s4_8xb32_in1k.py
Metadata:
FLOPs: 2979222528
Parameters: 14838352
Results:
- Dataset: ImageNet-1k
Task: Image Classification
Metrics:
Top 1 Accuracy: 79.69
Top 5 Accuracy: 94.46
Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s4_8xb32_in1k_20221110-28d888cb.pth