GAPan uses invertible normalizing flows to learn generative appearance priors from seen categories and aligns retrieval embeddings to these priors, improving performance on unseen categories in fine-grained image retrieval.
Pyramidflow: High-resolution defect contrastive localization using pyramid normalizing flow
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
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
GAPan uses invertible normalizing flows to learn generative appearance priors from seen categories and aligns retrieval embeddings to these priors, improving performance on unseen categories in fine-grained image retrieval.