Image Sentence Alignment

Image-Sentence Alignment is a subtask in the field of Natural Language Processing that aims to predict alignment scores between images and sentences. This task quantifies the semantic relevance between images and text to achieve precise matching between the two. Its goal is to calculate the similarity score between a given image and sentence, thereby evaluating their consistency at the semantic level. This technology holds significant value in applications such as multimodal information retrieval, image caption generation, and visual question answering systems.