A Additional results of multi-dataset training

OCHuman val and test set. The results are available in Table 11. As demonstrated in Table 12, ViTPose variants obtain better performance on both single joint evaluation and average evaluation, e.g ., ViTPose-B, ViTPose-L, and ViTPose-H achieve 93.3, 94.0, and 94.1 PCKh is adopted as the evaluation metric. Similarly, we evaluate the performance of ViTPose on the AI Challenger val set with the corresponding decoder head. ViTPose-G achieves the best 43.2 AP on the dataset with The dataset is under the CC-BY -4.0 MPII dataset is under the BSD license and contains 15K images and 22K human instances for training. There are at most 16 human keypoints for each instance annotated in this dataset.