综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”,程序员大本营,技术文章内容聚合第一站。
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 [reading notes],程序员大本营,技术文章内容聚合第一站。
我在CSDN博客写的,直接转过来。 零样本学习综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”发表于ACM Trans. Intell. Syst. Technol. 10, 2, Article 13 (January 2019). CSDN…
zero-shot learning定义: 给定训练标签数据 Dtr 属于已知类别S,zero-shot learning目标学习分类器: fu(⋅):X→U ,能够对测试集 Xte 预测出类别 Yte∈U , U 表示未见类别。 现有的zsl类别: [外链图片转存失败(img-wHytIo4i-1567006037501)(assets/image-20190828124733572.png)] ...
1)Characteristics of Input Data / 输入数据的特点 当前关于零样本学习的研究没有充分考虑到任务对应的输入数据的特点:比如在基于传感器的行为识别任务中,输入数据是时间序列数据;在图像目标检测任务中,我们不仅可以考虑整个图片的特征,还可以考虑目标各部分的信息。此外,在零样本学习建模过程中,还可以利用任务相关的多...
Zero-shotlearningisapower ulandpromisinglearningparadigm,inwhichtheclassescoveredbytraining instancesandtheclassesweaimtoclassi yaredisjoint.Inthispaper,weprovideacomprehensivesurveyo zero-shotlearning.Firsto all,weprovideanoverviewo zero-shotlearning.Accordingtothedatautilizedin ...
近年来,零样本学习(ZSL,zero-shot learning)已经在大量的任务中受到了广泛的关注。本文为大家带来了南洋理工大学的零样本学习最新综述,希望对大家有所帮助。A Survey of Zero-Shot Learning: Settings, Methods, and Applicati
We propose a detailed survey about zero shot detection in this paper. First, we summarize the background of zero shot detection and give the definition of zero shot detection. Second, based on the combination of traditional detection framework and zero shot learning methods, we categorize existing...
A Survey of Surveys (NLP & ML) In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the pa...