Text Grounding

Text grounding focuses on aligning textual descriptions with visual information, aiming to improve the understanding and interpretation of multimodal data. Current research emphasizes improving the accuracy and efficiency of this alignment, exploring techniques like fine-grained image-text alignment, multimodal large language models (MLLMs), and contrastive learning methods to enhance grounding in various applications. This work is significant for advancing multimodal understanding in fields like visual question answering, image captioning, and information retrieval, leading to more robust and explainable AI systems.