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Clustering-based Domain-Incremental Learning2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Bäck, Paris V. Giampouras
20citations -
Self-evolving Malware Detection for Cyber Security using Network Traffic and Incremental Learning2022 International Conference on Dependable Systems and Their Applications (DSA) conference-paper Computer Science Advanced Malware Detection Techniques
Xiaohu Xu, Yifei Liang, Xixi Zhang, Yu Wang, Yun Lin, Bamidele Adebisi, +2 more
7citations -
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation2023 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, +1 more
5citations -
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Yujie Li, Xiangkun Wang, Xin Yang, Marcello Bonsangue, Junbo Zhang, Tianrui Li
1citations -
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation2021 IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings conference-paper Computer Science Video Surveillance and Tracking Methods
Nan Pu, Wei Ren Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
101citations -
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering2021 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Multimodal Machine Learning Applications
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
22citations -
Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
Assessment of Simulated Data for Training Semantic Segmentation-based Perception Models in Construction2025 Procedia Computer Science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Jorge Luis Jiménez Aparicio, David Böken, Johannes Sprink, Xiaoting Wang, Jürgen Roßmann
0citations
21 results