Wang, Shunxin

1. What do neural networks learn in image classification? A frequency shortcut perspective
   2023/07/19 by Shunxin Wang, Wang, Shunxin, Raymond Veldhuis +5 · 6 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
2. A Survey on the Robustness of Computer Vision Models against Common Corruptions
   2023/05/10 by Shunxin Wang, Raymond Veldhuis, Wang, Shunxin +3 · 4 citations
   Computer Science · Medicine · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
3. Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
   2024/03/04 by Puru Vaish, Vaish, Puru, Shunxin Wang +3 · 4 citations
   Engineering · Computer Science · #Industrial Vision Systems and Defect Detection #Image and Signal Denoising Methods #Medical Image Segmentation Techniques
4. DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning
   2023/08/12 by Wang, Shunxin, Brune, Christoph, Veldhuis, Raymond +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
   2024/10/03 by Wu, Boqian, Xiao, Qiao, Wang, Shunxin +5 · 1 citation
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences