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 …

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

Food-oriented cross-modal retrieval aims to retrieve relevant recipes given food images or
vice versa. The modality semantic gap between recipes and food images (text and image …

Learning recipe and food image representation in common embedding space is non-trivial
but crucial for cross-modal recipe retrieval. In this paper, we propose CAR framework with …

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 …

Vehicles are the most representative product of both transportation and industry. Fueled by
the growing popularity of energy-saving and environmentally friendly ideas and policies …

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

Procedural text generation from visual observation of instructional videos, such as
assembling, biochemical experiments, and cooking, is an essential task for scene …