Revisiting local descriptor for improved few-shot classification

• المؤلفون الرئيسيون: HE, Jun, HONG, Richang, LIU, Xueliang, XU, Mingliang, SUN, Qianru
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2022
• الموضوعات: few-shot learning; image classification; visual recognition; meta-learning; attention networks; Databases and Information Systems; Graphics and Human Computer Interfaces
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/7558; https://ink.library.smu.edu.sg/context/sis_research/article/8561/viewcontent/dcap.pdf

Few-shot classification studies the problem of quickly adapting a deep learner to understanding novel classes based on few support images. In this context, recent research efforts have been aimed at designing more and more complex classifiers that measure similarities between query and support image...