5 papers
DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding
Yilin Wang, Haochen Shi, Guanyu Chen +4
Food segmentation is essential for applications such as intelligent catering, dietary assessment, and recommendation. However, existing benchmarks fail to capture the complexity of…
Regulation, Power, and the Compliance 1 Paradox: A Longitudinal Study of Smart Homes
Wael Albayaydh, Ivan Flechais, Rui Zhao
Smart home technologies are becoming increasingly embedded in domestic environments, yet their implications for power, privacy, and inequality remain insufficiently understood, par…
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition
Xinda Liu, Qinyu Zhang, Weiqing Min +2
Fine-grained image recognition poses a significant challenge due to the substantial expertise and effort required for manual annotation. Vision-language models (VLMs) like CLIP pro…
RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Junsong Wang, Weiqing Min, Guorui Sheng +3
Fine-grained food image retrieval is a key task in computational gastronomy, with applications in food traceability, dietary monitoring, and smart catering systems. Although hashin…
OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion
Dongjian Yu, Weiqing Min, Qian Jiang +3
Accurate estimation of food nutrition plays a vital role in promoting healthy dietary habits and personalized diet management. Most existing food datasets primarily focus on Wester…