3 citations · 5 across the 14 of their papers we have counts for
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cs.CV2023★ 1 cited
Unsupervised Universal Image Segmentation
Dantong Niu, Xudong Wang, Xinyang Han +3
Several unsupervised image segmentation approaches have been proposed which eliminate the need for dense manually-annotated segmentation masks; current models separately handle eit…
cs.CV2023★ 1 cited
See, Say, and Segment: Teaching LMMs to Overcome False Premises
Tsung-Han Wu, Giscard Biamby, David Chan +5
Current open-source Large Multimodal Models (LMMs) excel at tasks such as open-vocabulary language grounding and segmentation but can suffer under false premises when queries imply…