Cross-modal image-recipe retrieval has gained significant attention in recent years. Most
work focuses on improving cross-modal embeddings using unimodal encoders, that allow …

Cross-modal recipe retrieval is an emerging visual-textual retrieval task, which aims at
matching food images with the corresponding recipes. Although large-scale Vision …

Vision-language pre-trained models have exhibited significant advancements in various
multimodal and unimodal tasks in recent years, including cross-modal recipe retrieval …

State-of-the-art methods for cross-modal recipe retrieval failed to consider an underlying but
challenging issue, ie, matching imperfectly problem hidden in positive image-recipe pairs …

Abstract Vision-Language Pretraining (VLP) and Foundation models have been the go-to
recipe for achieving SoTA performance on general benchmarks. However, leveraging these …

Analyzing memes on the internet has emerged as a crucial endeavor due to the impact this
multi-modal form of content wields in shaping online discourse. Memes have become a …

Alignment between the food images and the corresponding recipes is an emerging cross-
modal representation learning task. In this task, the recipes are composed of three …

As a prominent topic in food computing, cross-modal recipe retrieval has garnered
substantial attention. However, the semantic alignment across food images and recipes …

近年来, 各种类型的媒体数据, 如音频, 文本, 图像和视频, 在互联网上呈现爆发式增长,
不同类型的数据通常用于描述同一事件或主题. 跨模态检索提供了一些有效的方法 …

The task of retrieving audio content relevant to lyric queries and vice versa plays a critical
role in music-oriented applications. In this process, robust feature representations have to be …