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Second, this paper designs an interactive attention deep feature fusion module, which acquires the correlation information between the target and the background from a global perspective, and designs a compression mechanism based on deep a priori knowledge, which reduces the computational difficulty of the self-attention mechanism. Then, this paper designs the context local feature enhancement and fusion module, which uses deep semantic features to dynamically guide shallow local features to realize enhancement and fusion. Finally, this paper proposes an edge feature extraction module for shallow features, which utilizes the complete texture and location information in the shallow features to assist the network to initially locate the target position and edge shape. Numerous experiments show that the method in this paper significantly improves nIoU, F1-Measure and AUC on IRSTD-1k Datasets and NUAA-SIRST Datasets.<\/jats:p>","DOI":"10.1007\/s40747-024-01410-6","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T04:01:51Z","timestamp":1713931311000},"page":"5281-5300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A single-frame infrared small target detection method based on joint feature guidance"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2308-4198","authenticated-orcid":false,"given":"Xiaoyu","family":"Xu","sequence":"first","affiliation":[]},{"given":"Weida","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Yichun","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Depeng","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jinxin","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yanyan","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,24]]},"reference":[{"issue":"7","key":"1410_CR1","doi-asserted-by":"publisher","first-page":"4204","DOI":"10.1109\/TGRS.2016.2538295","volume":"54","author":"H Deng","year":"2016","unstructured":"Deng H, Sun X, Liu M, Ye C, Zhou X (2016) Small infrared target detection based on weighted local difference measure. 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