How can labeling cost be reduced when building animal behavior datasets?

Animal behavior datasets are expensive to label, so weak supervision, pseudo-labeling, semi-supervised learning, and active learning can make experiments more scalable.

How can short and long animal behaviors be classified from video, pose sequences, or multimodal features?

Behavior recognition connects low-level visual signals to interpretable animal behavior analysis.

How can animal body movement be represented from raw video using pose and keypoint trajectories?

Pose and trajectory representations reduce the complexity of raw video and provide a structured basis for behavior analysis.