mmpretrain/configs/mobilevit/metafile.yml

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YAML

Collections:
- Name: MobileViT
Metadata:
Training Data: ImageNet-1k
Architecture:
- MobileViT Block
Paper:
URL: https://arxiv.org/abs/2110.02178
Title: MobileViT Light-weight, General-purpose, and Mobile-friendly Vision Transformer
README: configs/mobilevit/README.md
Models:
- Name: mobilevit-small_3rdparty_in1k
Metadata:
FLOPs: 2030000000
Parameters: 5580000
In Collection: MobileViT
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 78.25
Top 5 Accuracy: 94.09
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/mobilevit/mobilevit-small_3rdparty_in1k_20221018-cb4f741c.pth
Config: configs/mobilevit/mobilevit-small_8xb128_in1k.py
Converted From:
Weights: https://docs-assets.developer.apple.com/ml-research/models/cvnets/classification/mobilevit_s.pt
Code: https://github.com/apple/ml-cvnets
- Name: mobilevit-xsmall_3rdparty_in1k
Metadata:
FLOPs: 1050000000
Parameters: 2320000
In Collection: MobileViT
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 74.75
Top 5 Accuracy: 92.32
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/mobilevit/mobilevit-xsmall_3rdparty_in1k_20221018-be39a6e7.pth
Config: configs/mobilevit/mobilevit-xsmall_8xb128_in1k.py
Converted From:
Weights: https://docs-assets.developer.apple.com/ml-research/models/cvnets/classification/mobilevit_xs.pt
Code: https://github.com/apple/ml-cvnets
- Name: mobilevit-xxsmall_3rdparty_in1k
Metadata:
FLOPs: 420000000
Parameters: 1270000
In Collection: MobileViT
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 69.02
Top 5 Accuracy: 88.91
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/mobilevit/mobilevit-xxsmall_3rdparty_in1k_20221018-77835605.pth
Config: configs/mobilevit/mobilevit-xxsmall_8xb128_in1k.py
Converted From:
Weights: https://docs-assets.developer.apple.com/ml-research/models/cvnets/classification/mobilevit_xxs.pt
Code: https://github.com/apple/ml-cvnets