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To this end, the attention mechanism for the feature extracting framework is investigated comprising a scale-sensitive feature generation component and a discriminative feature generation module based on the gradients of regression and scoring losses. Comprehensive experiments have demonstrated that our pipeline obtains competitive results compared to recently published papers.<\/jats:p>","DOI":"10.1007\/s40747-022-00872-w","type":"journal-article","created":{"date-parts":[[2022,9,17]],"date-time":"2022-09-17T09:03:35Z","timestamp":1663405415000},"page":"1495-1506","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Object tracking in infrared images using a deep learning model and a target-attention mechanism"],"prefix":"10.1007","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4856-211X","authenticated-orcid":false,"given":"Mahboub","family":"Parhizkar","sequence":"first","affiliation":[]},{"given":"Gholamreza","family":"Karamali","sequence":"additional","affiliation":[]},{"given":"Bahram","family":"Abedi Ravan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,17]]},"reference":[{"key":"872_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/J.INFRARED.2019.103102","volume":"104","author":"S Xiao","year":"2020","unstructured":"Xiao S, Ma Y, Fan F, Huang J, Wu M (2020) Tracking small targets in infrared image sequences under complex environmental conditions. 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