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README.md
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@@ -18,8 +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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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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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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- **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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+
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concerto_large_linear_prob_head_sc.pth: ScanNet linear probing head.
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+
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concerto_large_outdoor.pth: outdoor pretraining weight using similar recipe.
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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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