DETOXER: A Visual Debugging Tool with Multi-Scope Explanations for Temporal Multi-Label Classification.In many applications, developed deep learning models need to be iteratively debugged and refined to improve the model efficiency over time.  In this paper, focusing on video activity recognition as an application of TMLC, we propose DETOXER; an interactive visual debugging system to support finding different error types and scopes through providing multi-scope explanations.
DETOXER
DETOXER: A Visual Debugging Tool with Multi-Scope Explanations for Temporal Multi-Label Classification.In many applications, developed deep learning models need to be iteratively debugged and refined to improve the model efficiency over time.  In this paper, focusing on video activity recognition as an application of TMLC, we propose DETOXER; an interactive visual debugging system to support finding different error types and scopes through providing multi-scope explanations.
DETOXER