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README.md
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Version: 1.0
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Code: https://github.com/facebookresearch/eai-vc
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Other Links: VC-1 Website, VC-1 Blogpost, VC-1 Paper, VC-1 Demo
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The VC-1 model is a vision transformer (ViT) pre-trained on over 4,000 hours of egocentric videos from 7 different sources, together with ImageNet. The model is trained using Masked Auto-Encoding (MAE) and is available in two sizes: ViT-B and ViT-L. The model is intended for use for EmbodiedAI tasks, such as object manipulation and indoor navigation.
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The VC-1 model is a vision transformer (ViT) pre-trained on over 4,000 hours of egocentric videos from 7 different sources, together with ImageNet. The model is trained using Masked Auto-Encoding (MAE) and is available in two sizes: ViT-B and ViT-L. The model is intended for use for EmbodiedAI tasks, such as object manipulation and indoor navigation.
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Version: 1.0
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Code: https://github.com/facebookresearch/eai-vc
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Other Links: VC-1 Website, VC-1 Blogpost, VC-1 Paper, VC-1 Demo
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The VC-1 model is a vision transformer (ViT) pre-trained on over 4,000 hours of egocentric videos from 7 different sources, together with ImageNet. The model is trained using Masked Auto-Encoding (MAE) and is available in two sizes: ViT-B and ViT-L. The model is intended for use for EmbodiedAI tasks, such as object manipulation and indoor navigation.
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The VC-1 model is a vision transformer (ViT) pre-trained on over 4,000 hours of egocentric videos from 7 different sources, together with ImageNet. The model is trained using Masked Auto-Encoding (MAE) and is available in two sizes: ViT-B and ViT-L. The model is intended for use for EmbodiedAI tasks, such as object manipulation and indoor navigation.
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