Coarse-grained and Fine-grained Features Extraction Based on Unsupervised Learning in Pedestrian Re-identification

In the research of pedestrian re-identification, there is not enough feature discrimination information, and factors such as occlusion and illumination will interfere with the accurate extraction of effective features, having a decisive impact on the subsequent similarity measurement and ranking of...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Jisuanji gongcheng
المؤلف الرئيسي:	TANG Jiamin, HAN Hua, HUANG Li
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Editorial Office of Computer Engineering 2022-04-01
الموضوعات:	computer vision\|pedestrian re-identification\|unsupervised learning\|feature learning\|loss function\|minimum distance criterion
الوصول للمادة أونلاين:	https://www.ecice06.com/fileup/1000-3428/PDF/20220433.pdf

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