Pose Relation Transformer Refine Occlusions for Human Pose Estimation
Hyung-gun Chi,Seunggeun Chi,Stanley Chan,Karthik Ramani,Hyung-gun Chi,Seunggeun Chi,Stanley Chan,Karthik Ramani
Accurately estimating the human pose is an essential task for many applications in robotics. However, existing pose estimation methods suffer from poor performance when occlusion occurs. Recent advances in NLP have been very successful in predicting the missing words conditioned on visible words. We draw upon the sentence completion analogy in NLP to guide our model to address occlusions in the po...
