YMX2L team demonstrates improved retrieval performance in a dense multimodal task, highlighting effective integration techniques.
This paper presents the participation of the YMX2L research team in the NTCIR-18 Transfer-2 Dense Multimodal Retrieval (DMR) task. Our approach focuses on the integration of visual and sensor data, leveraging data augmentation techniques and object detection to enhance retrieval performance. The experimental results demonstrate the effectiveness of our proposed methods and highlight key features that contribute to addressing the challenges of multimodal dense retrieval.
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Mizuguchi et al. (2025) studied this question.
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