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  license: apache-2.0
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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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  license: apache-2.0
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  ---
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+ This is the model for our paper [PIG-Nav: Key Insights for Pretrained Image-Goal Navigation Models](arxiv.org/abs/2507.17220).
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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.