[2511.09675] PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild

Computer Science > Computer Vision and Pattern Recognition arXiv:2511.09675 (cs) [Submitted on 12 Nov 2025 (v1), last revised 27 Mar 2026 (this version, v3)] Title:PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild Authors:Felix B. Mueller, Jan F. Meier, Timo Lueddecke, Richard Vogg, Roger L. Freixanet, Valentin Hassler, Tiffany Bosshard, Elif Karakoc, William J. O'Hearn, Sofia M. Pereira, Sandro Sehner, Kaja Wierucka, Judith Burkart, Claudia Fichtel, Julia Fischer, Alexander Gail, Catherine Hobaiter, Julia Ostner, Liran Samuni, Oliver Schülke, Neda Shahidi, Erin G. Wessling, Alexander S. Ecker View a PDF of the paper titled PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild, by Felix B. Mueller and 22 other authors View PDF HTML (experimental) Abstract:Non-human primates are our closest living relatives, and analyzing their behavior is central to research in cognition, evolution, and conservation. Computer vision could greatly aid this research, but existing methods often rely on human-centric pretrained models and focus on single datasets, which limits generalization. We address this limitation by shifting from a model-centric to a data-centric approach and introduce PriVi, a large-scale primate-centric video pretraining dataset. PriVi contains 424 hours of curated video, combining 174 hours from behavioral research across 11 settings with 250 hours of diverse web-sourced footage, assembled through a scalable data cur...