Mixteacher: Mining promising labels with mixed scale teacher for semi-supervised object detection L Liu, B Zhang, J Zhang, W Zhang, Z Gan, G Tian, W Zhu, Y Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 16 | 2023 |
Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detection C Wang, W Zhu, BB Gao, Z Gan, J Zhang, Z Gu, S Qian, M Chen, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
Align, perturb and decouple: Toward better leverage of difference information for RSI change detection S Wang, Y Li, M Xie, M Chi, Y Wang, C Wang, W Zhu arXiv preprint arXiv:2305.18714, 2023 | 3 | 2023 |
Single-temporal Supervised Remote Change Detection for Domain Generalization Q Du, J Peng, X Chen, Q He, Q Nie, W Zhu, M Chi, Y Wang, C Wang arXiv preprint arXiv:2404.11326, 2024 | | 2024 |
Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection Q Du, J Peng, C Wang, X Chen, Q He, W Zhu, M Chi, Y Wang, C Wang arXiv preprint arXiv:2404.11318, 2024 | | 2024 |
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection L He, Z Jiang, J Peng, L Liu, Q Du, X Hu, W Zhu, M Chi, Y Wang, C Wang arXiv preprint arXiv:2403.11561, 2024 | | 2024 |