Animal Behavior & CognitionbioRxivPreprint
Cross-session generalization in automated behavioral tracking of Galleria mellonella larvae: comparison of classical computer vision, deep learning and generative domain adaptation
Kasjan Smigielski, Natalia Piórkowska
This paper compares classical computer vision, deep learning, and generative domain adaptation for cross-session behavioral tracking of Galleria mellonella larvae, finding that classical methods are more robust to domain shifts than deep learning.
DOI 10.64898/2026.07.24.740557