Existing research for image text retrieval mainly relies on sentence-level supervision to
distinguish matched and mismatched sentences for a query image. However, semantic …

Text-to-video retrieval has seen significant advancements, yet the ability of models to
discern subtle differences in captions still requires verification. In this paper, we introduce a …

Vulnerability prediction models have been shown to perform poorly in the real world. We
examine how the composition of negative training data influences vulnerability prediction …

Multi-modal pre-training and knowledge discovery are two important research topics in multi-
modal machine learning. Nevertheless, none of existing works make attempts to link …

With the explosive growth of multi-modal information on the Internet, unimodal search
cannot satisfy the requirement of Internet applications. Text-image retrieval research is …

The image-text retrieval task aims to retrieve relevant information from a given image or text.
The main challenge is to unify multimodal representation and distinguish fine-grained …

Vulnerability prediction models have been shown to perform poorly in the real world. We
examine how the composition of negative training data influences vulnerability prediction …