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| A diffusion-based framework for multi-class anomaly detection H He, J Zhang, H Chen, X Chen, Z Li, X Chen, Y Wang, C Wang, L Xie Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8472-8480, 2024 | 15 | 2024 |
| Anomalydiffusion: Few-shot anomaly image generation with diffusion model T Hu, J Zhang, R Yi, Y Du, X Chen, L Liu, Y Wang, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8526-8534, 2024 | 10 | 2024 |
| Remembering normality: Memory-guided knowledge distillation for unsupervised anomaly detection Z Gu, L Liu, X Chen, R Yi, J Zhang, Y Wang, C Wang, A Shu, G Jiang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption T Hu, J Zhang, L Liu, R Yi, S Kou, H Zhu, X Chen, Y Wang, C Wang, L Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
