JEPA-SORT: World-Model Embeddings Improve Deep-Sea Multi-Object Tracking on Visually Homogeneous Fauna
Amory Tillinghast-Raby, Matt Kravetz, Jeriyla Kamau-Weng, Alexis Weinnig, Yara Rodrigues, Filippo Varini, Vincent Pieribone
JEPA-SORT improves deep-sea multi-object tracking by using world-model embeddings to maintain stable identities on visually homogeneous fauna, outperforming standard MOT algorithms in IDF1, MOTA, and BDU.
bioRxiv · Oct 9, 2026 · PreprintEcology