Review for NeurIPS paper: Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking

Weaknesses: - How much does the spatial and temporal potentials matter? The paper conducts experiments on DLC semi (supervised gaussian regularization) and DGP, however the influence of spatial and temporal potentials are not evaluated independently. This seems like an informative ablation study to do, especially since the paper claims the difference with prior work is that prior work does not consider temporal and spatial priors. There is a recent work OptiFlex by Liu et al which also uses temporal information, this should be cited. Only copared against a fully supervised method (DLC) and a baseline semi-supervised method which is an ablative version of the proposed approach (no temporal and structural priors).