Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network

W Li, X Xu, Y Gu, B Zheng, S Gao… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently 3D anomaly detection a crucial problem involving fine-grained geometry
discrimination is getting more attention. However the lack of abundant real 3D anomaly data …
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Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network

W Li, X Xu - arXiv preprint arXiv:2311.14897, 2023 - arxiv.org
Recently, 3D anomaly detection, a crucial problem involving fine-grained geometry
discrimination, is getting more attention. However, the lack of abundant real 3D anomaly …
Cite

Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network

W Li, X Xu, Y Gu, B Zheng, S Gao, Y Wu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Recently, 3D anomaly detection, a crucial problem involving fine-grained geometry
discrimination, is getting more attention. However, the lack of abundant real 3D anomaly …
Cite