PowerCLIP improves CLIP-style models by exhaustively aligning powersets of image regions to textual parse trees via efficient non-linear aggregators that approximate the full combinatorial loss.
Clip-adapted region-to-text learning for generative open- vocabulary semantic segmentation
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PowerCLIP: Powerset Alignment for Contrastive Pre-Training
PowerCLIP improves CLIP-style models by exhaustively aligning powersets of image regions to textual parse trees via efficient non-linear aggregators that approximate the full combinatorial loss.