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cs.CV2024
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection
Erik Brorsson, Lennart Svensson, Kristofer Bengtsson +1
We address multi-view pedestrian detection in a setting where labeled data is collected using a multi-camera setup different from the one used for testing. While recent multi-view…
cs.CV2024
ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation
Erik Brorsson, Knut à kesson, Lennart Svensson +1
We consider unsupervised domain adaptation (UDA) for semantic segmentation in which the model is trained on a labeled source dataset and adapted to an unlabeled target dataset. Unf…