Few-shot class-incremental learning X Tao, X Hong, X Chang, S Dong, X Wei, Y Gong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 474 | 2020 |
Few-shot class-incremental learning via relation knowledge distillation S Dong, X Hong, X Tao, X Chang, X Wei, Y Gong Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1255-1263, 2021 | 156 | 2021 |
Model behavior preserving for class-incremental learning Y Liu, X Hong, X Tao, S Dong, J Shi, Y Gong IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7529-7540, 2022 | 51 | 2022 |
Semantic knowledge guided class-incremental learning S Wang, W Shi, S Dong, X Gao, X Song, Y Gong IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5921 …, 2023 | 21 | 2023 |
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. J Shi, Y Wang, S Dong, X Hong, Z Yu, F Wang, C Wang, Y Gong IJCAI, 1306-1312, 2022 | 14 | 2022 |
Deep class-incremental learning from decentralized data X Zhang, S Dong, J Chen, Q Tian, Y Gong, X Hong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 13 | 2022 |
Brain cognition-inspired dual-pathway CNN architecture for image classification S Dong, Y Gong, J Shi, M Shang, X Tao, X Wei, X Hong, T Zhou IEEE Transactions on Neural Networks and Learning Systems, 2023 | 9 | 2023 |
Knowledge restore and transfer for multi-label class-incremental learning S Dong, H Luo, Y He, X Wei, J Cheng, Y Gong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
DKT: Diverse knowledge transfer transformer for class incremental learning X Gao, Y He, S Dong, J Cheng, X Wei, Y Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning X Song, K Shu, S Dong, J Cheng, X Wei, Y Gong Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6 | 2024 |
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias X Song, Y He, S Dong, Y Gong Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 15056 …, 2024 | 4 | 2024 |
Analogical Learning-Based Few-Shot Class-Incremental Learning J Li, S Dong, Y Gong, Y He, X Wei IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 4 | 2024 |
Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy L Ding, X Song, Y He, C Wang, S Dong, X Wei, Y Gong IEEE Transactions on Circuits and Systems for Video Technology 34 (1), 424-437, 2023 | 4 | 2023 |
Structural knowledge organization and transfer for class-incremental learning Y Liu, X Hong, X Tao, S Dong, J Shi, Y Gong Proceedings of the 3rd ACM International Conference on Multimedia in Asia, 1-7, 2021 | 4 | 2021 |
Few-shot online anomaly detection and segmentation S Wei, X Wei, Z Ma, S Dong, S Zhang, Y Gong Knowledge-Based Systems, 112168, 2024 | 3 | 2024 |
Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning X Gao, S Dong, Y He, Q Wang, Y Gong arXiv preprint arXiv:2407.10281, 2024 | 2 | 2024 |
Global self-sustaining and local inheritance for source-free unsupervised domain adaptation L Peng, Y He, S Wang, X Song, S Dong, X Wei, Y Gong Pattern Recognition, 110679, 2024 | 2 | 2024 |
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning Y He, Y Chen, Y Jin, S Dong, X Wei, Y Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
LOBG: Less Overfitting for Better Generalization in Vision-Language Model C Ding, X Gao, S Dong, Y He, Q Wang, A Kot, Y Gong arXiv preprint arXiv:2410.10247, 2024 | | 2024 |
Brain-inspired dual-pathway neural network architecture and its generalization analysis SL Dong, CL Tan, ZT Zuo, YH He, YH Gong, TG Zhou, JM Liu, JS Zhang Science China Technological Sciences 67 (8), 2319-2330, 2024 | | 2024 |