DEARLi improves semi-supervised panoptic segmentation by fusing CLIP zero-shot mask classification with a SAM-based decoder warm-up, reaching 29.9 PQ on ADE20K with 158 labeled images.
Per- pixel classification is not all you need for semantic segmen- tation
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DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation
DEARLi improves semi-supervised panoptic segmentation by fusing CLIP zero-shot mask classification with a SAM-based decoder warm-up, reaching 29.9 PQ on ADE20K with 158 labeled images.