Semantic-preserving multimodal fusion framework for enhanced infrared-visible image segmentation using pretrained SAM
Image Processing|更新时间:2026-06-12
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Semantic-preserving multimodal fusion framework for enhanced infrared-visible image segmentation using pretrained SAM
Chinese Journal of Liquid Crystals and DisplaysVol. 41, Issue 5, Pages: 734-753(2026)
作者机构:
中国刑事警察学院 公安信息技术与情报学院, 辽宁 沈阳 110854
作者简介:
基金信息:
National Key R&D Program of China (“13th Five-Year Plan”)(2017YFC0821004);Project(LJKZZ20220007);Major Project Cultivation Program of the Fundamental Research Funds for the Central Universities
CHEN Yue, XU Feng, LI Haowen. Semantic-preserving multimodal fusion framework for enhanced infrared-visible image segmentation using pretrained SAM[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(5): 734-753.
DOI:
CHEN Yue, XU Feng, LI Haowen. Semantic-preserving multimodal fusion framework for enhanced infrared-visible image segmentation using pretrained SAM[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(5): 734-753. DOI: 10.37188/CJLCD.2026-0051. CSTR: 32172.14.CJLCD.2026-0051.
Semantic-preserving multimodal fusion framework for enhanced infrared-visible image segmentation using pretrained SAM