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Meta-Transfer Learning through Hard Tasks 来自 arXiv.org 喜欢 0 阅读量: 227 作者:Q Sun,Y Liu,Z Chen,TS Chua,B Schiele 摘要: Meta-learning has been proposed as a framework to address the challenging few-shot learning setting. The key idea is to leverage a large number of similar few-...
Based on the above motivation mentioned in Section 4.3.1, we propose X-WRAP (eXplain, Weight and Rank Activity Prediction), a meta-transfer learning approach for cross-individual human activity recognition tasks, which is also specifically designed for interpretability and control. As shown in Figur...
In this context, there are many challenges such as learning saturation, vanishing/exploding gradient problem, and formation of dead neurons. We proposed a new activation function called HardSReLUE. In this study, retinal blood vessels were detected and removed from the image using the Gabor ...