ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data

Yuxing Liu, Zheng Li, Huanhuan Liang +3

Anomaly segmentation seeks to detect and localize unknown or out-of-distribution (OoD) objects that fall outside predefined semantic classes a capability essential for safe autonom…