Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes

no code implementations • 24 Nov 2021 • Jiazhong Cen, Zenkun Jiang, Lingxi Xie, Qi Tian, Xiaokang Yang, Wei Shen

Anomaly segmentation is a crucial task for safety-critical applications, such as autonomous driving in urban scenes, where the goal is to detect out-of-distribution (OOD) objects with categories which are unseen during training.

Anomaly Detection Autonomous Driving +1