2016. A survey on zero-shot learning. Journal of Science 5, 1 (2016), 455–460. 综述内容: 这篇文章大约回顾了30篇关于零样本学习的作品。 分类方法: 基于特征空间和语义空间的关系,这篇文章将零样本学习方法分为三类:一阶变换方法、二阶变换方法和高阶变换方法。 局限性: 尽管进行了分类,但由于相关...
In this article, a comprehensive survey is given on the methodology, implementation, and fair evaluations for practical and applied computing facets on the recent progress of zero-shot learning.doi:10.3934/aci.2022001Guanyu YangZihan YeRui Zhang...
Goals of our survey. 我们的目标是i) 总结了日间去雾(day-time dehazing)任务中常用的数据集和损失函数;ii)为基于深度学习的SOTA去雾算法提供了一种分类方法并介绍了各个方法的核心技术;iii)指出将给未来关于去雾任务带来灵感的未决问题(open issues) The differences between our survey and others.【A compreh...
zero-shot learning (ZSL) where new classes for prediction have never appeared in training, and few-shot learning (FSL) where new classes for prediction ... J Chen,Y Geng,Z Chen,... 被引量: 0发表: 2021年 ...
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。
零样本学习 A Survey of Zero-Shot Learning - Settings, Methods and Applications 热度: URBAN RAIL TRANSIT-A Comprehensive Evaluation of Benefits 16 January 2012 热度: Mcgraw Hill - The Project Manager's Desk Reference 2Nd Edition A Comprehensive Guide To Project Planning, Scheduling, Evaluation, And...
In this context, this survey mainly deals with the various categories of approaches that have been proposed for HAR in the last ten years. To be specific, HAR techniques range from conventional machine learning methods to recently popular deep learning methods, and this field is growing fast. ...
Despite several previous survey papers, a comprehensive review addressing the strengths and weaknesses of both machine learning and deep learning in the context of weed detection is lacking. Furthermore, an in-depth discussion on pre-processing stages, segmentation, feature extraction, and classification...
Neubig, “Pretrain, prompt, and predict: A systematic survey of prompting20 methods in natural language processing,” ACM Computing Surveys, 2023. [268] Y. Xian, C. H. Lampert, B. Schiele, and Z. Akata, “Zero-shot learning—a comprehensive evaluation of the good, the bad and the ...
本文参考论文《A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT》 发展历史: 预训练基础模型 (PFM) 被视为具有不同数据模式的各种下游任务的基础。 PFM(例如 BERT、ChatGPT 和 GPT-4)在大规模数据上进行训练,为广泛的下游应用程序提供合理的参数初始化。与早期利用卷积和...