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Update model card for point-bert-base.scanobjectnn-objonly.xumin-yu

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  1. README.md +4 -1
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@@ -23,6 +23,9 @@ model-index:
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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
@@ -37,7 +40,7 @@ A Point-BERT point cloud classification model (masked point modeling transformer
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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)