UDA-FROVSS, the first unsupervised domain adaptation framework for open-vocabulary segmentation, preserves the ability to segment categories never seen in the source dataset.
Biased Class disagreement: detection of out of distribution instances by using differ- ently biased semantic segmentation models
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VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation
UDA-FROVSS, the first unsupervised domain adaptation framework for open-vocabulary segmentation, preserves the ability to segment categories never seen in the source dataset.