NR
Natasa Rikalo
Authored
2 records found
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment
A Study of Practices, Challenges, and Needs
Handling failures in computer vision systems that rely on deep learning models remains a challenge. While an increasing number of methods for bug identification and correction are proposed, little is known about how practitioners actually search for failures in these models. W ...
Deep learning models for image classification suffer from dangerous issues often discovered after deployment. The process of identifying bugs that cause these issues remains limited and understudied. Especially, explainability methods are often presented as obvious tools for b ...