Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation

• Published in: IEEE transactions on intelligent transportation systems Vol. 23; no. 11; pp. 20899 - 20911
• Main Authors: Klingner, Marvin, Ayache, Mouadh, Fingscheidt, Tim
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Artificial neural networks; batch normalization; Data models; deep learning; Delays; Domain adaptation; Domains; Image segmentation; Neural networks; Semantic segmentation; Semantics; Task analysis; unsupervised learning

Environment perception in autonomous driving vehicles often heavily relies on deep neural networks (DNNs), which are subject to domain shifts, leading to a significantly decreased performance during DNN deployment. Usually, this problem is addressed by unsupervised domain adaptation (UDA) approaches...