Songlin Dong

According to our database, Songlin Dong authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Class-Incremental Learning From Decentralized Data.

Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy.

Li Ding, Xiang Song, Yuhang He, Changxin Wang, Songlin Dong, Xing Wei, Yihong Gong

IEEE Trans. Circuits Syst. Video Technol., January, 2024

I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning.

Songlin Dong, Yingjie Chen, Yuhang He, Yuhan Jin, Alex C. Kot, Yihong Gong

CoRR, 2024

Few-shot Online Anomaly Detection and Segmentation.

Shenxing Wei, Xing Wei, Zhiheng Ma, Songlin Dong, Shaochen Zhang, Yihong Gong

CoRR, 2024

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning.

Xinyuan Gao, Songlin Dong, Yuhang He, Xing Wei, Yihong Gong

CoRR, 2024

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning.

Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias.

Xiang Song, Yuhang He, Songlin Dong, Yihong Gong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Model Behavior Preserving for Class-Incremental Learning.

Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Semantic Knowledge Guided Class-Incremental Learning.

Shaokun Wang, Weiwei Shi, Songlin Dong, Xinyuan Gao, Xiang Song, Yihong Gong

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Knowledge Restore and Transfer for Multi-label Class-Incremental Learning.

Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Yihong Gong

CoRR, 2023

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning.

Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning.

Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution.

Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Structural Knowledge Organization and Transfer for Class-Incremental Learning.

Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation.

Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Few-Shot Class-Incremental Learning.

Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020