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update VA eval
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README.md

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@@ -69,10 +69,11 @@ To generate stereo data with depth using Habitat, we provide a snippet here. Ins
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SimSIN trained models, evaluation on VA
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| Name | Arch | Expert | MAE | AbsRel | RMSE | acc@ 1.25 | acc@ 1.25^2 | acc@ 1.25^3 | Download |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| DistDepth | ResNet152 | DPT Large | 0.252 | 0.175 | 0.371 | 75.1 | 93.9 | 98.4 | [model](https://drive.google.com/file/d/1X_VMg1LYLmm8xCloLRjqHtIslyXfOrn5/view?usp=sharing) |
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| DistDepth | ResNet152 | DPT Legacy | 0.270 | 0.186 | 0.386 | 73.2 | 93.2 | 97.9 | [model](https://drive.google.com/file/d/1rTBSglo_h-Ke5HMe4xvHhCjpeBDRl6vx/view?usp=sharing) |
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Download VA (8G) first. Extract under the root folder.
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├── VA_left_all.txt
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``` bash eval.sh ```
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The performances will be saved under the root folder.
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Run ``` bash eval.sh ``` The performances will be saved under the root folder.
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To visualize the predicted depth maps,
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