Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching

arXiv:2404.18114v1 Announce Type: new
Abstract: Image-text matching remains a challenging task due to heterogeneous semantic diversity across modalities and insufficient distance separability within triplets. Different from previous approaches focusing on enhancing multi-modal representations or exploiting cross-modal correspondence for more accurate retrieval, in this paper we aim to leverage the knowledge transfer between peer branches in a boosting manner to seek a more powerful matching model. Specifically, we propose a brand-new Deep Boosting Learning (DBL) algorithm, where an anchor branch is …

arxiv boosting brand cs.cv cs.mm image text type