Update model card for point-bert-base.scanobjectnn-objonly.xumin-yu
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README.md
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- name: OA
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type: accuracy
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value: 88.12
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---
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# Model card for point-bert-base.scanobjectnn-objonly.xumin-yu
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- Classes: 40
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- Features: 768
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- **Dataset:** ScanObjectNN (OBJ_ONLY)
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- **Metrics:** OA 88.12 (reference 88.12)
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- **Paper:** [Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling](https://arxiv.org/abs/2111.14819)
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- **Converted from:** [Julie-tang00/Point-BERT](https://github.com/Julie-tang00/Point-BERT) (MIT)
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- **Library:** [torch-pointcloud](https://github.com/arthurdjn/pytorch-pointcloud)
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- name: OA
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type: accuracy
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value: 88.12
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- name: mAcc
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type: accuracy
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value: 85.93
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---
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# Model card for point-bert-base.scanobjectnn-objonly.xumin-yu
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- Classes: 40
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- Features: 768
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- **Dataset:** ScanObjectNN (OBJ_ONLY)
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- **Metrics:** OA 88.12, mAcc 85.93 (reference 88.12)
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- **Paper:** [Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling](https://arxiv.org/abs/2111.14819)
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- **Converted from:** [Julie-tang00/Point-BERT](https://github.com/Julie-tang00/Point-BERT) (MIT)
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- **Library:** [torch-pointcloud](https://github.com/arthurdjn/pytorch-pointcloud)
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