Intra-African Geographic Domain Shift in Wildlife Camera Trap Species Classification: A Comparative Study of Supervised and Zero-Shot Foundation Models
This study presents the first systematic evaluation of intra-African geographic domain shift in wildlife camera trap classification by comparing supervised, retrieval-based, and zero-shot foundation models across diverse Southern African datasets to provide practical guidance for deploying conservation AI without new labelled data.