AIBearisharXiv – CS AI · 5h ago6/10
🧠
When Multi-Sensor Fusion Fails to Generalize: Cattle Posture Classification Under Animal-Level and Temporal Distribution Shift
A study evaluating automated cattle posture classification systems reveals that multimodal sensor fusion achieves near-perfect accuracy in controlled settings but fails dramatically when deployed across different time periods and animal cohorts. The research demonstrates that benchmark accuracy metrics significantly overestimate real-world performance, with cross-year evaluation dropping from 94% to 49% macro-F1 score, highlighting critical gaps in AI robustness assessment for livestock monitoring applications.