Multi-source Domain Generalization (DG) measures a classifier's ability ...
Label-efficient and reliable semantic segmentation is essential for many...
Building object detectors that are robust to domain shifts is critical f...
Unsupervised domain adaptation (UDA) methods can dramatically improve
ge...
Progress in machine learning is typically measured by training and testi...
A discriminatively trained neural net classifier achieves optimal perfor...
Image extension models have broad applications in image editing,
computa...