首页|Investigators at Xiangnan University Discuss Findings in Intelligent Systems (Nh i-sega: N-hierarchy Semantic Guided Attention for Few-shot Learning)
Investigators at Xiangnan University Discuss Findings in Intelligent Systems (Nh i-sega: N-hierarchy Semantic Guided Attention for Few-shot Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Intelligent Systems. Accordingto news originating from Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “Humans e xcel at learning and recognizing objects, swiftly adapting to new concepts with just a fewsamples. However, current studies in computer vision on few-shot lear ning have not yet achieved humanperformance in integrating prior knowledge duri ng the learning process.”
HunanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningXiangnan University
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