计算机应用与软件2025，Vol.42Issue(6)：249-257,289,10.DOI:10.3969/j.issn.1000-386x.2025.06.032
利用图像的空间相对特征进行细粒度草图检索
FINE-GRAINED SKETCH-BASED IMAGE RETRIEVAL USING SPATIAL RELATIVE FEATURE OF IMAGES
摘要
Abstract
Fine-grained sketch-based image retrieval(FG-SBIR)aims to use hand-drawn sketches as queries sample to perform instance-level retrieval in image databases.Due to problems such as offset and distortion,it is difficult for sketches to align with real images in space.A new FG-SBIR method based on spatial relative attention(SRA)is proposed.The coordinate map was used to extract spatial-aware features,and the spatial relative relationship was extracted based on the relative self-attention module.At the same time,a contrastive loss NT-Xent was introduced to obtain stronger feature representation.Experiments on two public datasets show that the method outperforms several state-of-the-art FG-SBIR methods on retrieval accuracy.关键词
草图检索/空间感知特征/相对自注意力/对比损失Key words
Sketch-based image retrieval/Spatial-aware feature/Relative self-attention/Contrastive loss分类
计算机与自动化引用本文复制引用
周健,周向东..利用图像的空间相对特征进行细粒度草图检索[J].计算机应用与软件,2025,42(6):249-257,289,10.基金项目
国家重点研发计划项目(2018YFB1402600). （2018YFB1402600）
