SMAN: Stacked Multimodal Attention Network for Cross-Modal Image–Text Retrieval

This article focuses on tackling the task of the cross-modal image–text retrieval which has been an interdisciplinary topic in both computer vision and natural language processing communities. Existing global representation alignment-based methods fail to pinpoint the semantically meaningful portion of images and texts, while the local representation alignment schemes suffer from the huge computat...