Songlin Dong

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Knowledge Organization

Incremental Learning

Anomaly Detection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Circuits Syst. Video Technol.

Publications

Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning. WACV (2024)
Songlin Dong, Yihong Gong, Jingang Shi, Miao Shang, Xiaoyu Tao, Xing Wei, Xiaopeng Hong, Tiangang Zhou
Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Lin Peng, Yuhang He, Shaokun Wang, Xiang Song, Songlin Dong, Xing Wei, Yihong Gong
Global self-sustaining and local inheritance for source-free unsupervised domain adaptation. Pattern Recognit. 155 (2024)
Li Ding, Xiang Song, Yuhang He, Changxin Wang, Songlin Dong, Xing Wei, Yihong Gong
Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy. IEEE Trans. Circuits Syst. Video Technol. 34 (1) (2024)
Shenxing Wei, Xing Wei, Zhiheng Ma, Songlin Dong, Shaochen Zhang, Yihong Gong
Few-shot online anomaly detection and segmentation. Knowl. Based Syst. 300 (2024)
Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Yihong Gong
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning. CoRR (2024)
Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong
Deep Class-Incremental Learning From Decentralized Data. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Songlin Dong, Yingjie Chen, Yuhang He, Yuhan Jin, Alex C. Kot, Yihong Gong
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning. CoRR (2024)
Xiang Song, Yuhang He, Songlin Dong, Yihong Gong
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias. AAAI (2024)
Shenxing Wei, Xing Wei, Zhiheng Ma, Songlin Dong, Shaochen Zhang, Yihong Gong
Few-shot Online Anomaly Detection and Segmentation. CoRR (2024)
Xinyuan Gao, Songlin Dong, Yuhang He, Xing Wei, Yihong Gong
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning. CoRR (2024)
Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Yihong Gong
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning. CoRR (2023)
Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong
Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning. ICCV (2023)
Shaokun Wang, Weiwei Shi, Songlin Dong, Xinyuan Gao, Xiang Song, Yihong Gong
Semantic Knowledge Guided Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (10) (2023)
Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong
Model Behavior Preserving for Class-Incremental Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning. CVPR (2023)
Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong
Deep Class Incremental Learning from Decentralized Data. CoRR (2022)
Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. IJCAI (2022)
Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. AAAI (2021)
Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong
Structural Knowledge Organization and Transfer for Class-Incremental Learning. MMAsia (2021)
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
Few-Shot Class-Incremental Learning. CVPR (2020)
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
Few-Shot Class-Incremental Learning. CoRR (2020)