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cs.CV2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
Data augmentation (DA) is widely used to improve the generalization of neural networks by enforcing the invariances and symmetries to pre-defined transformations applied to input d…
cs.CV2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Chengkai Hou, Jieyu Zhang, Haonan Wang +1
Long-tailed recognition with imbalanced class distribution naturally emerges in practical machine learning applications. Existing methods such as data reweighing, resampling, and s…