| 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 | 525 | 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 | 182 | 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 | 55 | 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 | 26 | 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 | 17 | 2022 |
| 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 | 15 | 2023 |
| 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 | 14 | 2022 |
| 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 | 13 | 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 | 11 | 2024 |
| 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 | 11 | 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 | 8 | 2024 |
| Few-shot online anomaly detection and segmentation S Wei, X Wei, Z Ma, S Dong, S Zhang, Y Gong Knowledge-Based Systems, 112168, 2024 | 6 | 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 | 6 | 2023 |
| 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 | 5 | 2024 |
| Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning X Gao, S Dong, Y He, Q Wang, Y Gong European Conference on Computer Vision, 89-106, 2024 | 4 | 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 | 4 | 2024 |
| 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 |
| 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 | 3 | 2024 |
| CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning S Dong, X Gao, Y He, Z Zhou, AC Kot, Y Gong IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 1 | 2024 |
| Non-exemplar Domain Incremental Learning via Cross-Domain Concept Integration Q Wang, Y He, S Dong, X Gao, S Wang, Y Gong European Conference on Computer Vision, 144-162, 2024 | 1 | 2024 |
Yihong GongXi'an Jiaotong UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mail.xjtu.edu.cn