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Uni-NaVid

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@@ -6,7 +6,7 @@ The model is trained on samples collected from the training splits of [VLN-CE](h
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  | Evaliation Benchmark | TL | NE | OS | SR | SPL |
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  |----------------------|:----:|:----:|:----:|:----:|:----:|
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- | VLN-CE R2R Val. | 9.77 | 5.48 | 57.0 | 51.5 | 47.1 |
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- | VLN-CE RxR Val. | 18.2 | 5.68 | 64.4 | 56.6 | 45.8 |
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  The related inference code can be found in [here](https://github.com/jzhzhang/Uni-NaVid)
 
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  | Evaliation Benchmark | TL | NE | OS | SR | SPL |
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  |----------------------|:----:|:----:|:----:|:----:|:----:|
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+ | VLN-CE R2R Val. | 9.22 | 4.96 | 57.4 | 51.8 | 47.7 |
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+ | VLN-CE RxR Val. | 18.4 | 5.67 | 64.4 | 66.4 | 44.5 |
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  The related inference code can be found in [here](https://github.com/jzhzhang/Uni-NaVid)