Mask-based anomaly segmentation in complex driving scenes

doi:10.1016/j.patrec.2025.05.013

2025-06-10

PRE

DOI：10.1016/j.patrec.2025.05.013

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摘要

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• 我们提出了一种基于掩码的异常分割方法AnomaskDrive。 • 我们提出了掩码注意力机制和掩码精炼方法以改进分割效果。 • 在RoadAnomaly和Fishyscapes数据集上的实验验证了我们方法的有效性。

期刊

Pattern Recognition Letters

IF:

3.3

论文数:

8.0K

被引数:

1.6W

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