Presentation
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data
DescriptionTo address a lack of generalization to novel classes, we propose DreamMask, which systematically explores data generation in the open-vocabulary setting, and how to train the model with both real and synthetic data. It significantly simplifies the collection of large-scale training data, serving as a plug-and-play enhancement for existing methods.
Event Type
Technical Paper
TimeWednesday, 13 August 20254:35pm - 4:45pm PDT
LocationWest Building, Rooms 118-120
ACM Digital Library
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Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Wednesday, 13 August 20253:45pm - 5:35pm PDTWest Building, Rooms 118-120
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