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@@ -175,7 +175,7 @@ If you use our models, datasets, or methodology in your research, please cite ou
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  For the IROS 2025 conference version, which primarily focuses on YOLO models and represents an earlier conference publication, please cite:
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  ```
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- @inproceedings{he2025mitigatinghallucinationsyolobasedobject,
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  title={Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection},
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  author={Weicheng He and Changshun Wu and Chih-Hong Cheng and Xiaowei Huang and Saddek Bensalem},
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  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
@@ -189,7 +189,7 @@ For the IROS 2025 conference version, which primarily focuses on YOLO models and
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  ```
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  For the journal version, which expands the methodology to Faster-RCNN and RT-DETR, includes an automated data curation pipeline, and provides an in-depth analysis of the approach, please cite:
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  ```
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- @inproceedings{wu2025revisitingoutofdistributiondetectionrealtime,
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  title={Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm},
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  author={Changshun Wu and Weicheng He and Chih-Hong Cheng and Xiaowei Huang and Saddek Bensalem},
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  year={2025},
 
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  For the IROS 2025 conference version, which primarily focuses on YOLO models and represents an earlier conference publication, please cite:
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  ```
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+ @inproceedings{he2025mitigating,
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  title={Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection},
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  author={Weicheng He and Changshun Wu and Chih-Hong Cheng and Xiaowei Huang and Saddek Bensalem},
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  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 
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  ```
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  For the journal version, which expands the methodology to Faster-RCNN and RT-DETR, includes an automated data curation pipeline, and provides an in-depth analysis of the approach, please cite:
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  ```
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+ @inproceedings{wu2025revisiting,
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  title={Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm},
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  author={Changshun Wu and Weicheng He and Chih-Hong Cheng and Xiaowei Huang and Saddek Bensalem},
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  year={2025},