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@@ -18,7 +18,11 @@ This repository contains the model weights for **Concerto**, a novel approach fo
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  - **Inference:** [https://github.com/Pointcept/Concerto](https://github.com/Pointcept/Concerto)
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  ## Models
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- The default models(concerto_large/base/small/tiny) are the pre-release version of our next work, which can deal with input without color and normal. If colors and normals are not available, please set them to zeros. We pre-release these for general public use because many tasks lack such information. The original Concerto model is `concerto_base_origin.pth`.
 
 
 
 
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  | Model Size | Channels | Depths | Head nums |
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  | --- | --- | --- | --- |
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  | Tiny | (16, 32, 64, 128, 256) | (1, 1, 1, 3, 1) | (1, 2, 4, 8, 16) |
 
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  - **Inference:** [https://github.com/Pointcept/Concerto](https://github.com/Pointcept/Concerto)
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  ## Models
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+ concerto_base_siglip.pth: replace DINOv2 with SigLIPv2 in cross-modal distillation.
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+ concerto_large_linear_prob_head_sc.pth: ScanNet linear probing head.
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+ concerto_large_outdoor.pth: outdoor pretraining weight using similar recipe.
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+
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+ The default models(concerto_large/base/small/tiny) are the pre-release version of our next work, Utonia, which can deal with input without color and normal. If colors and normals are not available, please set them to zeros. We pre-release these for general public use because many tasks lack such information. The original Concerto model is `concerto_base_origin.pth`.
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  | Model Size | Channels | Depths | Head nums |
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  | --- | --- | --- | --- |
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  | Tiny | (16, 32, 64, 128, 256) | (1, 1, 1, 3, 1) | (1, 2, 4, 8, 16) |