Reliability Evaluation Methods of Deep Learning Algorithm in Computer Vision
Xin Xu, Yan Gao · 2020
With the rapid development of deep learning technology, the application based on deep learning shows explosive growth, especially in the field of computer vision. However, some characteristics of the deep learning algorithm make it face many unexpected threats in actual use. It has become an urgent problem to ensure the reliability of the algorithm. In this paper, we propose a deep learning algorithm reliability evaluation system and corresponding evaluation indicators from the three aspects of data, model, and operating framework, then describe reliability evaluation methods for each specific indicator.