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. 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 2. Behavior Classification Results on Fly.

“FlyTracker” represents classifiers using hand-crafted inputs from [15]. The self-supervised keypoints all use the same “generic features” computed on all keypoints: speed, acceleration, distance, and angle.

Fly MAP
Hand-crafted features
FlyTracker [15] .809 ± .013

Self-supervised + generic features
Image Recon. .500 ± .024
Image Recon. bbox .750 ± .020
Ours .727 ± .022

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