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Firstly, a Multi-scale Feature Extraction (MFE) module is designed by combining CNN and Transformer structure to obtain the discriminative specific feature, as the basis for the feature aggregation stage. Secondly, a Jointly Part-based Feature Aggregation (JPFA) mechanism is revealed to implement adjacent feature aggregation with diverse scales. The JPFA contains Same-scale Feature Correlation (SFC) and Cross-scale Feature Correlation (CFC) sub-modules. Finally, to verify the effectiveness of the proposed method, extensive experiments are performed on the common datasets of Market-1501, CUHK03-NP, DukeMTMC, and MSMT17. The experimental results achieve better performance than many state-of-the-art methods.<\/jats:p>","DOI":"10.1007\/s40747-024-01395-2","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T19:02:28Z","timestamp":1711047748000},"page":"4557-4569","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Discriminative multi-scale adjacent feature for person re-identification"],"prefix":"10.1007","volume":"10","author":[{"given":"Mengzan","family":"Qi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8916-1174","authenticated-orcid":false,"given":"Sixian","family":"Chan","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Xiaolong","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"issue":"12","key":"1395_CR1","doi-asserted-by":"publisher","first-page":"4540","DOI":"10.1109\/TCSVT.2020.2977427","volume":"30","author":"Y Huang","year":"2020","unstructured":"Huang Y, Lian S, Zhang S, Hu H, Chen D, Su T (2020) Three-dimension transmissible attention network for person re-identification. 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