Test-time Domain Adaptation for Monocular Depth Estimation
Zhi Li,Shaoshuai Shi,Bernt Schiele,Dengxin Dai,Zhi Li,Shaoshuai Shi,Bernt Schiele,Dengxin Dai
Test-time domain adaptation, i.e. adapting source-pretrained models to the test data on-the-fly in a source-free, unsupervised manner, is a highly practical yet very challenging task. Due to the domain gap between source and target data, inference quality on the target domain can drop drastically especially in terms of absolute scale of depth. In addition, unsupervised adaptation can degrade the m...
