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README.md
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---
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license: mit
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tags:
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- point-cloud
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- 3d
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- self-supervised
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- point-transformer
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- semantic-segmentation
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---
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# Sonata Model Weights
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Model checkpoints for [Sonata](https://github.com/cad-results/sonata) — self-supervised pre-trained Point Transformer V3 for 3D point cloud downstream tasks.
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## Files
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| Path | Description |
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|------|-------------|
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| `pretrained/sonata.pth` | Sonata base pretrained backbone |
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| `pretrained/sonata_small.pth` | Sonata small pretrained backbone |
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| `pretrained/sonata_linear_prob_head_sc.pth` | Linear probe head |
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| `big/best_big_geometry_model.pth` | Best big geometry finetuned model |
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| `medium/best_medium_geometry_model.pth` | Best medium geometry finetuned model |
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| `mixed/best_mixed_geometry_model.pth` | Best mixed geometry finetuned model |
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| `binary/best_binary_model.pth` | Best binary classification model |
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| `small/best_small_geometry_model.pth` | Best small geometry finetuned model |
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## Source Code
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[https://github.com/cad-results/sonata](https://github.com/cad-results/sonata)
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