Heyin Oh

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level

Effective error analysis is critical for the successful development and deployment of CVML models. One approach to understanding model errors is to summarize the common characteristics of error samples. This can be particularly challenging in tasks that utilize unstructured, complex data such as images, where patterns…