2 papers
cs.CV2023
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
Yuhao Huang, Xin Yang, Xiaoqiong Huang +7
Deep classifiers may encounter significant performance degradation when processing unseen testing data from varying centers, vendors, and protocols. Ensuring the robustness of deep…
stat.ML2022
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm
J. Lian, K. Choi, B. Veeramani +4
The quality of Artificial Intelligence (AI) algorithms is of significant importance for confidently adopting algorithms in various applications such as cybersecurity, healthcare, a…