2017
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
ICCV 2017poster
We propose a new method to analyze the impact of errors in algorithms for multi-instance pose estimation and a principled benchmark that can be used to compare them. We define and characterize three classes of errors - localization, scoring, and background - study how they are influenced by instance…