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Usually, these models merely combine high-level and low-level features in a straightforward manner, leading to an increase in redundant information. To address this challenge, this study presents an aggregated multi-level feature interaction fusion network (AMFNet). Specifically, the AMFNet incorporates a branch interaction module (BIM) that branches and fuses features channel-wise to facilitate feature interaction. Moreover, it also includes a dilated context module (DCM) that expands the receptive field to capture contextual information across various scales effectively. In addition, we propose a spatial correlation module (SCM) that is designed to recognize spatial dependencies between adjacent feature maps and generate attention weights. Our performance evaluations on the NEU-DET and GC10-DET dataset reveal that our proposed AMFNet significantly outperforms classical object detectors in terms of mean average precision (mAP). Moreover, it also demonstrates a modest improvement over the advanced methods recently introduced by other researchers.<\/jats:p>","DOI":"10.1007\/s10845-025-02613-5","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T01:56:30Z","timestamp":1745805390000},"page":"1615-1632","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["AMFNet: aggregated multi-level feature interaction fusion network for defect detection on steel surfaces"],"prefix":"10.1007","volume":"37","author":[{"given":"Changyun","family":"Wei","sequence":"first","affiliation":[]},{"given":"Yuhang","family":"Bao","sequence":"additional","affiliation":[]},{"given":"Chengwei","family":"Zheng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8968-9902","authenticated-orcid":false,"given":"Ze","family":"Ji","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"key":"2613_CR1","doi-asserted-by":"publisher","unstructured":"Aghdam, S. 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