Category-level retrieval improves when text queries are converted into multiple generated images, aggregated with a learned attention module, and fused with CLIP text similarity.
In defense of lazy visual grounding for open-vocabulary semantic segmentation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders
Category-level retrieval improves when text queries are converted into multiple generated images, aggregated with a learned attention module, and fused with CLIP text similarity.