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 | 384 | 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 | 119 | 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, 2022 | 34 | 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, 2023 | 11 | 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 | 10 | 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 | 6 | 2022 |
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 |
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 | 3 | 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 | 3 | 2023 |
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, 2023 | 2 | 2023 |
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 | 2 | 2023 |
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 | 1 | 2024 |
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 | 1 | 2024 |
I2CANSAY: Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning S Dong, Y Chen, Y He, Y Jin, AC Kot, Y Gong arXiv preprint arXiv:2404.13576, 2024 | | 2024 |
Few-shot Online Anomaly Detection and Segmentation S Wei, X Wei, Z Ma, S Dong, S Zhang, Y Gong arXiv preprint arXiv:2403.18201, 2024 | | 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 | | 2024 |
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learnin X Gao, S Dong, Y He, X Wei, Y Gong arXiv preprint arXiv:2403.06670, 2024 | | 2024 |