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(BigData 2023) A Survey on Cross-Domain Few-Shot Image Classification
About This Webinar
Due to the limited availability of labelled data in many real-world scenarios, we have to resort to data from other domains to improve models' performance, which prompts the advancement of research regarding the cross-domain few-shot image classification task. In this paper, we systematically review existing cross-domain few-shot image classification algorithms published in recent years. We categorize these algorithms into data-augmentation and feature-alignment paradigms and present their recent progress. We summarize three commonly-used cross-domain datasets for benchmarking few-shot image classification tasks and relevant scenarios. Finally, we outline existing limitations and future perspectives.
Who can view: Everyone
Webinar Price: Free
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Building the Modern Services Industry
The Services Society (S2) is a non-profit professional organization that has been created to promote worldwide research and technical collaboration in services innovations among academia and industrial professionals. Its members are volunteers from industry and academia with common interests. S2 is registered in the USA as a "501(c) organization", which means that it is an American tax-exempt nonprofit organization. S2 collaborates with other professional organizations to sponsor or co-sponsor conferences and to promote an effective services curriculum in colleges and universities. The S2 initiates and promotes a "Services University" program worldwide to bridge the gap between industrial needs and university instruction. The Services Society has formed 10 Special Interest Groups (SIGs) to support technology and domain specific professional activities.
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