ENCYCLOPEDIA ENHANCED SEMANTIC EMBEDDING FOR ZERO-SHOT LEARNING - 源码 - 源码 - 免费下载

ENCYCLOPEDIA ENHANCED SEMANTIC EMBEDDING FOR ZERO-SHOT LEARNING

文件大小： 448k

源码售价： 10 个金币积分规则积分充值

资源说明：There are tremendous object categories in the real world besides those in image datasets. Zero-shot learning aims to recognize image categories which are unseen in the training set. A large number of previous zero-shot learning models use word vectors of the class labels directly as category pro- totypes in the semantic embedding space. But word vectors cannot obtain the global knowledge of an image category suf- ficiently. In this paper, we propose a new encyclopedia en- hanced semantic embeddi

部分文件列表（点击文件名可查看文件内容）

					
									本源码包内暂不包含可直接显示的源代码文件，请下载源码包。