Unlike in the fully unsupervised setting, the HSMM model with ordering (HSMM+Ord, row U4) learns to distinguish steps from background when constrained to predict each step region once in a video, with predicted background timesteps (70.6%) close to the ground-truth (72%).
performance of this model is still very low on the task metrics -comparable to or underperforming the ordered uniform baseline with background (row B3) on all metrics.