Invariance encoding in sliced-Wasserstein space for image classification with limited training data

Mohammad Shifat E Rabbi, Yan Zhuang, Shiying Li +3

Deep convolutional neural networks (CNNs) are broadly considered to be state-of-the-art generic end-to-end image classification systems. However, they are known to underperform whe…