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.
The pascal visual object classes (voc) challenge.International Journal of Com- puter Vision (IJCV), 88:303–338, 2010
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.