Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency

no code implementations • 9 Dec 2023 • Suorong Yang, Hongchao Yang, Suhan Guo, Furao Shen, Jian Zhao

AdaPruner can still significantly enhance model performance even after pruning up to 10-30\% of the training data.

Image Data Augmentation for Deep Learning: A Survey

no code implementations • 19 Apr 2022 • Suorong Yang, Weikang Xiao, Mengchen Zhang, Suhan Guo, Jian Zhao, Furao Shen

By improving the quantity and diversity of training data, data augmentation has become an inevitable part of deep learning model training with image data.

Data Augmentation Image Classification +3