1. 背景 为了识别未见类的对象,大多数现有的零样本学习(Zero-Shot Learning, ZSL)方法首先根据源可见类的数据学习公共语义空间和视觉空间之间的兼容投影函数,然后将其直接应用于目标未见类。然而,对于野外的数据(in-the-wild data),源域和目标域之间的分布可能无法很好的匹配,从而导致众所周知的域偏移问题(Domain S...
为了缓解这种漂移,很多人就提出了Transductive ZSL的方法,即在训练的时候把unseen类的数据也用于visual-semantic embedding的构建,当然是没有标签的unseen数据,不然就不叫ZSL。 下图就很简单、形象的展示了Inductive ZSL和Transductive ZSL的训练、测试方法(来源于论文:Transductive Zero-Shot Recognition via Shared Model S...
Transductive zero-shot action recognition by word-vector embedding. Intl. Jour. Computer Vision, pp. 1-25. 2, 3X. Xu, T. Hospedales, and S. Gong, "Transductive zero-shot action recognition by word-vector embedding," International Journal of Com- puter Vision, pp. 1-25, 2017....
Transductive Zero-Shot Learning with VisualStructure ConstraintZiyu Wan ∗1 , Dongdong Chen ∗2 , Yan Li 3 , Xingguang Yan 4Junge Zhang 5 , Yizhou Yu 6 , Jing Liao †11City University of Hong Kong2Microsoft Cloud+AI3PCG, Tencent4Shenzhen University5NLPR, CASIA6Deepwise AI LabAbstractT...
transductive zero-shot and few-shot CLIP classification challenge in which inference is performed jointly across a mini-batch of unlabeled query samples rather than treating each instance independently. We initially construct informative vision-text probability features leading to a classification problem on...
Transductive multi-label zeroshot learning[C]. British Machine Vision Conference ,2015: 1-12.Fu Y, Yang Y, Gong S (2014c) Transductive Multi-label Zero-shot Learning. In: BMVCY. Fu, Y. Yang, T. Hospedales, T. Xiang, and S. Gong. Transductive multi-label zero-shot learning. In ...
Computer Science - LearningComputer Science - Computer Vision and Pattern RecognitionRecently, zero-shot learning (ZSL) has received increasing interest. The key idea underpinning existing ZSL approaches is to exploit knowledge transfer via an intermediate-level semantic representation which is assumed to ...
Transductive Zero-Shot Classification View Accuracy by Date Created with Highcharts 9.3.0ACCURACYZLaPZLaPOther modelsModels with highest Accuracy5. Apr28.4 Filter:untagged Edit Leaderboard RankModelAccuracyPaperCodeResultYearTags 1 ZLaP 28.4 Label Propagation for Zero-shot Classification with Vision-Langu...
Transductive Unbiased Embedding for Zero-Shot Learning Jie Song1, Chengchao Shen1, Yezhou Yang2, Yang Liu3, and Mingli Song1 1College of Computer Science and Technology, Zhejiang University, Hangzhou, China 2Arizona State University, Tempe, USA 3Alibaba Group, Hangzhou, China Abstract Most ...
【论文学习笔记】Transductive Unbiased Embedding for Zero-Shot Learning (2018_CVPR),程序员大本营,技术文章内容聚合第一站。