. Author manuscript; available in PMC: 2023 Jan 9.

Published in final edited form as: Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2022 Sep 27;2022:2161–2170. doi: 10.1109/cvpr52688.2022.00221

Table 1. Behavior Classification Results on CalMS21.

“Ours” represents classifiers using input keypoints from our discovered keypoints. “conf” represents using the confidence score, and “cov” represents values from the covariance matrix of the heatmap.

CalMS21	Pose	Conf	Cov	MAP
Fully supervised
MARS ^† [39]	✓			.856 ± .010
	✓	✓		.874 ± .003
	✓	✓	✓	.880 ± .005

Self-supervised
Jakab et al. [20]	✓			.186 ± .008

Image Recon.	✓			.182 ± .007
	✓	✓		.184 ± .006
	✓	✓	✓	.165 ± .012

Image Recon. bbox^†	✓			.819 ± .008
	✓	✓		.812 ± .006
	✓	✓	✓	.812 ± .010

Ours	✓			.814 ± .007
	✓	✓		.857 ± .005
	✓	✓	✓	.852 ± .013

^†

refers to models that require bounding box inputs before keypoint estimation. Mean and std dev from 5 classifier runs are shown.