Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection

no code implementations • 28 Aug 2021 • Minjie Cai, Minyi Luo, Xionghu Zhong, Hao Chen

We propose an uncertainty-aware model adaptation method, which is based on two motivations: 1) the estimation and exploitation of model uncertainty in a new domain is critical for reliable domain adaptation; and 2) the joint alignment of distributions for inputs (feature alignment) and outputs (self-training) is needed.

Domain Adaptation Object +2