 Semantic Drift Compensation for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2020 |
 iTAML: An Incremental Task-Agnostic Meta-learning ApproachComputer Vision and Pattern Recognition (CVPR), 2020 |
 Modeling the Background for Incremental Learning in Semantic
SegmentationComputer Vision and Pattern Recognition (CVPR), 2020 |
 Knowledge Distillation for Incremental Learning in Semantic SegmentationComputer Vision and Image Understanding (CVIU), 2019 |
 Compacting, Picking and Growing for Unforgetting Continual LearningNeural Information Processing Systems (NeurIPS), 2019 |
 REMIND Your Neural Network to Prevent Catastrophic ForgettingEuropean Conference on Computer Vision (ECCV), 2019 |
 Continual Learning for Robotics: Definition, Framework, Learning
Strategies, Opportunities and ChallengesInformation Fusion (Inf. Fusion), 2019 |
 Incremental Classifier Learning Based on PEDCC-Loss and Cosine DistanceMultimedia tools and applications (MTA), 2019 |
