电子科技2026，Vol.39Issue(5)：40-47,8.DOI:10.16180/j.cnki.issn1007-7820.2026.05.005
基于多尺度上下文与边界生成的伪装物体分割
Camouflage Object Segmentation with Multi-Scale Context and Boundary Generation
摘要
Abstract
When segmenting camouflaging objects,the similarity between the foreground and background of the camouflaging objects leads to difficulties in feature extraction and boundary positioning.An innovative multi-scale context and boundary generation network is proposed.Not only global features are effectively extracted through multi-layer Transformer modules,but also necessary local detail information is retained.The proposed network combines of the context enhancement module and the cross-scale feature aggregation module can significantly enhance global con-text features and promote the efficient interaction of global context information.The introduction of the boundary gen-eration module can learn the boundary information in the features and accurately locate the boundaries of the camou-flaged objects.The experimental results show that,compared with other methods,the average maximum improvement of the four evaluation indicators of the four datasets by this network is 15.9 percentage points,13.4 percentage points,30.6 percentage points and 6.4 percentage points,respectively,verifying its better segmentation accuracy.关键词
伪装物体/特征提取/全局特征/局部细节/多尺度上下文/跨尺度特征聚合/边界生成/TransformerKey words
camouflage object/feature extraction/global feature/local details/multi-scale context/feature aggre-gation across scales/boundary generation/Transformer分类
信息技术与安全科学引用本文复制引用
何烨,苏雯,高金凤..基于多尺度上下文与边界生成的伪装物体分割[J].电子科技,2026,39(5):40-47,8.基金项目
国家自然科学基金(62006209) （62006209）
浙江省自然科学基金(LY24F020010) （LY24F020010）
浙江理工大学科研启动基金(18022225-Y) （18022225-Y）
国家级大学生创新创业训练计划(202310338013) （202310338013）
浙江理工大学科研业务费专项资金(24222091-Y)National Natural Science Foundation of China(62006209) （24222091-Y）
Natural Science Foundation of Zhejiang(LY24F020010) （LY24F020010）
Science Foundation of Zhejiang Sci-Tech University(18022225-Y) （18022225-Y）
National College Student Innovation and Entrepreneurship Training Program(202310338013) （202310338013）
Fundamental Research Funds of Zhejiang Sci-Tech University(24222091-Y) （24222091-Y）
