Open-vocabulary segmentation is bottlenecked by CLIP's weak region-level classification, mask proposer quality, the no-object mask filter, and COCO-ADE20K annotation conflicts, each quantified with oracle experiments.
Reproducible scal- ing laws for contrastive language-image learning
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What Holds Back Open-Vocabulary Segmentation?
Open-vocabulary segmentation is bottlenecked by CLIP's weak region-level classification, mask proposer quality, the no-object mask filter, and COCO-ADE20K annotation conflicts, each quantified with oracle experiments.