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