CTNet: learning local details and global context for food recognition

2026/07/27 by Boyuan Ma, Donglin Zhang, Xiao-Jun Wu
Computer Science · Engineering · Medicine · #Advanced Chemical Sensor Technologies #Image Retrieval and Classification Techniques #Nutritional Studies and Diet

paper · doi:10.1007/s00530-026-02525-1

openalex created_date 2026/07/27 · openalex publication_date 2026/07/27 · openalex updated_date 2026/07/28

Citations

• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
• Learning multi-scale features automatically from food and ingredients
• DPFA-net: a lightweight hybrid neural network with dual path feature aggregation for food image recognition