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PartImageNetPP

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@@ -34,7 +34,7 @@ We provide a visualization demo tool to explore and inspect the annotations. Thi
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  ### If you find this useful in your research, please cite this work:
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  ```
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- @inproceedings{li2024languagedriven,
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  author = {Li, Xiao and Liu, Yining and Dong, Na and Qin, Sitian and Hu, Xiaolin},
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  title = {PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition},
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  booktitle={European conference on computer vision},
 
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  ### If you find this useful in your research, please cite this work:
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  ```
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+ @inproceedings{li2024pinpp,
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  author = {Li, Xiao and Liu, Yining and Dong, Na and Qin, Sitian and Hu, Xiaolin},
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  title = {PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition},
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  booktitle={European conference on computer vision},