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Jul, 2022
GSMFlow: 针对广义零样本学习的生成位移缓解流算法
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
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Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang...
TL;DR
通过多个条件仿射耦合层的流式生成框架来学习未知数据的生成,进一步避免语义空间中的结构混乱和生成时的偏移问题。在四个广义零样本学习基准数据集上进行广泛实验,GSMFlow在GZSL上实现了最先进的性能。
Abstract
generalized zero-shot learning
(GZSL) aims to recognize images from both the seen and unseen classes by transferring semantic knowledge from seen to unseen classes. It is a promising solution to take the advantage of
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