Songlin Dong

Orcid: 0000-0001-7854-3417

According to our database1, Songlin Dong authored at least 23 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Deep Class-Incremental Learning From Decentralized Data.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Analogical Learning-Based Few-Shot Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., 2024

Global self-sustaining and local inheritance for source-free unsupervised domain adaptation.
Pattern Recognit., 2024

Few-shot online anomaly detection and segmentation.
Knowl. Based Syst., 2024

LOBG:Less Overfitting for Better Generalization in Vision-Language Model.
CoRR, 2024

I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning.
CoRR, 2024

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning.
CoRR, 2024

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Non-exemplar Domain Incremental Learning via Cross-Domain Concept Integration.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Model Behavior Preserving for Class-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Semantic Knowledge Guided Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Knowledge Restore and Transfer for Multi-label Class-Incremental Learning.
CoRR, 2023

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Structural Knowledge Organization and Transfer for Class-Incremental Learning.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Few-Shot Class-Incremental Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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