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Step-wise performance. A progression of pose estimation performance after each contribution for all joints is shown above, comparing combinations of high-variance training (HV), lighting normalization (CLAHE), and Kalman filtering (KF) to low-variance training (LV) and Caffe-Heatmap with FLIC (CH-FLIC). The results for Subject 1’s test set are shown here.
