Active learning for domain adaptation: An energy-based approach B Xie, L Yuan, S Li, CH Liu, X Cheng, G Wang Proceedings of the AAAI conference on artificial intelligence 36 (8), 8708-8716, 2022 | 101 | 2022 |
Towards fewer annotations: Active learning via region impurity and prediction uncertainty for domain adaptive semantic segmentation B Xie, L Yuan, S Li, CH Liu, X Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 69 | 2022 |
Robust test-time adaptation in dynamic scenarios L Yuan, B Xie, S Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 57 | 2023 |
Evolving standardization for continual domain generalization over temporal drift M Xie, S Li, L Yuan, C Liu, Z Dai Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios S Li, L Yuan, B Xie, T Yang arXiv preprint arXiv:2310.04714, 2023 | 1 | 2023 |
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation L Yuan, S Li, Z He, B Xie arXiv preprint arXiv:2312.01835, 2023 | | 2023 |