no code implementations • 21 Feb 2023 • Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee
This can render the current OOD detectors impermeable to inputs lying outside the training distribution but with the same semantic information (e. g. training class labels).
no code implementations • 22 May 2022 • Shuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee
Anomaly detection is essential for preventing hazardous outcomes for safety-critical applications like autonomous driving.
no code implementations • 15 Apr 2022 • Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani
Accurately detecting and tracking multi-objects is important for safety-critical applications such as autonomous navigation.