Image Caption Retrieval

Image caption retrieval (ICR) aims to find images matching a given textual description, a crucial task in multimedia search and understanding. Current research focuses on improving the handling of long and complex captions, addressing the mismatch between human-generated and model-generated captions, and optimizing training methods like contrastive loss functions to prevent the suppression of important image features. These advancements are vital for enhancing the accuracy and efficiency of ICR systems, with implications for applications ranging from improved search engines to more sophisticated content management and analysis tools.

Papers