Semi-supervised Text-based Person Search

arXiv:2404.18106v1 Announce Type: new
Abstract: Text-based person search (TBPS) aims to retrieve images of a specific person from a large image gallery based on a natural language description. Existing methods rely on massive annotated image-text data to achieve satisfactory performance in fully-supervised learning. It poses a significant challenge in practice, as acquiring person images from surveillance videos is relatively easy, while obtaining annotated texts is challenging. The paper undertakes a pioneering initiative to explore TBPS under the semi-supervised setting, where …

abstract arxiv challenge cs.cv data image images language massive natural natural language performance person practice search semi-supervised supervised learning surveillance text type