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README.md
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This is the model for the paper **PIG-Nav: Key Insights for Pretrained Image-Goal Navigation Models**.
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Description of this model:
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- This model (PIG-Nav-NoEarlyfuse) is the model pretrained without early fusing architecture in ViT, where other setups are kept the same as PIG-Nav. The model is trained
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- Please follow our github repo for detailed use.
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This is the model for the paper **PIG-Nav: Key Insights for Pretrained Image-Goal Navigation Models**.
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Description of this model:
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- This model (PIG-Nav-NoEarlyfuse) is the model pretrained without early fusing architecture in ViT, where other setups are kept the same as PIG-Nav. The model is trained by a total of 156K iterations with a batch size of 128.
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- Please follow our github repo for detailed use.
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model.pth
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version https://git-lfs.github.com/spec/v1
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size 1240367732
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