Tianyu Li

COSTA: A Cluster-Centric Paradigm for Annotation-Free Open-Set Semantic Segmentation of Aerial Point Clouds with Domain Shifts

COSTA leverages the domain gap through proven test-time adaptation, and groups each batch of target-domain points into a small set of semantic clusters based on the similarity distribution in the adapted feature space, and propagates high-confidence pseudo labels obtained from an open-vocabulary vision-language model to all points through cluster-level voting.