Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
arXiv:2605.09859v1 Announce Type: new
Abstract: Fine-grained image retrieval (FGIR) typically relies on supervision from seen categories to learn discriminative embeddings for retrieving unseen categories. However, such supervision often biases retrie…