Class-Transductive Instance-Transductive (CTIT)Setting:训练时使用已标记的可见类的数据集Dtr,未标记的不可见类的数据集Xte,可见类所对应的语义特征Ts集合和不可见类所对应的语义特征Tu集合。 由于训练样本和测试样本包含的类是不相交的,领域漂移现象在 zero shot 中变得更加常见。 其中CIII的训练因为没有不可见类...
A Survey of Zero-Shot Learning: Settings, Methods, and Applications 论文速读 高姿态 刚入AI坑,喜欢学习,喜欢钓鱼,喜欢运动健身。研究背景 背景介绍: 这篇文章的研究背景是机器学习方法通常集中在分类训练实例所属的类别,而在实际应用中,经常需要分类训练时未见过的类别。零样本学习是一种强大的学习范式,旨在解决...
作为辅助信息,我们也可以采用一些人工定义的类别相似性信息作为辅助信息。 4)More Realistic and Application-Specific Problem Settings / 更加贴近现实的任务特定的问题设定 零样本学习研究应该往更接近现实的方向进发,比如广义的零样本学习中,测试样本可用同时来自可见类和未知类。此外,未知类集合比较大的情况下如何做分...
的训练中出现。 Learning settings Class-Inductive Instance-Inductive (CIII) Setting Only labeled training instances Dtr and seen class prototypes Ts are used in model learning. Class-Transductive Instance-Inductive (CTII) Setting Labeled training instances Dtr , seen class prototypes Ts and unseen clas...
Long-tail learningMixup augmentationVision-language models (VLM), such as Contrastive Language-Image Pretraining (CLIP), have demonstrated powerful capabilities in image classification under zero-shot settings. However, current zero-shot learning (ZSL) relies on manually tagged samples of known classes ...
modeloptimization,weclassi yzero-shotlearningintothreelearningsettings.Second,wedescribediferent semanticspacesadoptedinexistingzero-shotlearningworks.Third,wecategorizeexistingzero-shotlearning methodsandintroducerepresentativemethodsundereachcategory.Fourth,wediscussdiferentapplications ...
Knowledge base completion (KBC) aims to predict the missing links in knowledge graphs. Previous KBC tasks and approaches mainly focus on the setting where all test entities and relations have appeared in the training set. However, there has been limited research on the zero-shot KBC settings, ...
Model complexity has increased to improve SBIR performance under zero-shot settings, where testing queries are unseen during training. Related studies found existing SBIR models tend to fail under zero-shot settings [12]. One approach to tackle this problem is to learn a joint embedding space or...
综述: A Survey of Zero-Shot Learning: Settings, Methods, and Applications恒大大:零样本学习--一文先了解 零样本学习的相关概念--综述_零样本迁移_big_matster的博客-CSDN博客
[1] Wei Wang, Vincent W. Zheng, Han Yu, and Chunyan Miao.(2019). A Survey of Zero-Shot Learning: Settings, Methods, and Applications. ACM Trans. Intell. Syst. Technol.10, 2, Article 13 (January 2019), 37 pages. [2] Frome, A. , Corrado, G. S. , Shlens, J. , Bengio, S...