IEEE TPAMI

Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm

重新审视实时目标检测中的分布外检测：从基准陷阱到新的缓解范式

Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem

AI总结 本文提出了一种新的训练时缓解范式，通过合成数据集减少目标检测中的分布外幻觉问题，有效降低YOLO模型的错误率。

Comments Accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)