71 citations · 99 across the 5 of their papers we have counts for
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cs.CV2022
Class-Specific Semantic Reconstruction for Open Set Recognition
Hongzhi Huang, Yu Wang, Qinghua Hu +1
Open set recognition enables deep neural networks (DNNs) to identify samples of unknown classes, while maintaining high classification accuracy on samples of known classes. Existin…
cs.CV2022★ 28 cited
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Huitong Chen, Yu Wang, Qinghua Hu
Deep learning models suffer from catastrophic forgetting when learning new tasks incrementally. Incremental learning has been proposed to retain the knowledge of old classes while…
cs.CV2021
United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks
Sindi Shkodrani, Yu Wang, Marco Manfredi +1
Attempts of learning from hierarchical taxonomies in computer vision have been mostly focusing on image classification. Though ways of best harvesting learning improvements from hi…