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Attention-aligned mean-teacher learning for unsupervised domain adaptive person re-ID
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作者 You LV Zhen ZHANG +1 位作者 Guoliang KANG Wei WEI 《Science China(Technological Sciences)》 2025年第8期286-288,共3页
In recent years,artificial intelligence has fueled the development of numerous applications[1,2].Person re-identification(re-ID)is a typical artificial intelligence system designed to automatically retrieve images of ... In recent years,artificial intelligence has fueled the development of numerous applications[1,2].Person re-identification(re-ID)is a typical artificial intelligence system designed to automatically retrieve images of specific individuals from galleries captured by different cameras[3].While supervised(in-domain)person re-ID methods have achieved considerable success in recent years[4],they remain susceptible to domain shifts.This means a model trained on one domain may fail to identify the person in another distinct domain.Collecting annotating data for every possible domain variation(e.g.,resolutions,lighting,and cameras)is impractical. 展开更多
关键词 UNSUPERVISED domain shifts retrieve images specific individuals domain adaptive attention aligned mean teacher domain shiftsthis artificial intelligence
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