Search Results for author: Giancarlo Di Biase

Found 1 papers, 1 papers with code

Pixel-wise Anomaly Detection in Complex Driving Scenes

1 code implementation CVPR 2021 Giancarlo Di Biase, Hermann Blum, Roland Siegwart, Cesar Cadena

The inability of state-of-the-art semantic segmentation methods to detect anomaly instances hinders them from being deployed in safety-critical and complex applications, such as autonomous driving.

Ranked #3 on Anomaly Detection on Lost and Found (using extra training data)

Anomaly Detection Autonomous Driving +2

Cannot find the paper you are looking for? You can Submit a new open access paper.