Description: Addressing Source Scale Bias via Image Warping for Domain Adaptation.
domain adaptation (6) bad weather (6) instancewarp (1)
Our adapted detection results on in-the-wild driving videos taken in bad weather.
We oversample salient object regions by warping source-domain images in-place during training while performing domain adaptation.
Our approach improves adaptation across geographies, lighting and weather conditions, is agnostic to the task, domain adaptation algorithm, saliency guidance, and underlying model architecture. Our approach adds minimal memory during training and has no additional latency at inference time.