Training and testing datasets pertain to the same target in traditional stance detection4. However, compiling a comprehensive dataset encompassing all potential targets is daunting3. Moreover, acquiring valid labels for previously unseen targets is often expensive. Consequently, zero-shot stance detection...
At present, there is no special data set for ultrasonic nondestructive testing images in super-resolution, and the performance of numerous existing models depends on the learning of general data sets. In this paper, a zero-shot super-resolution network based on reflection projection units is ...
Zero-shot stance detection (ZSSD) identifies the stances of targets that have not been encountered during the testing phase. Most of the existing efforts a... C Wang,Y Zhang,S Wang - 《Expert Systems with Application》 被引量: 0发表: 2024年 Zero-shot stance detection based on multi-persp...
1、领域适应性(Domain adaptation)定义 Domain Adaptation是迁移学习(Transfer Learning)中的一种,在之前讲迁移学习分类的时候,我们提到过。在很多机器学习任务中,模型在训练(training)时所采用的样本和模型在测试(testing)时所采用的样本分布(domain adaptation)不一致,导致了领域适应性问题(Problem of Domain Adaptation)...
4、零例学习(Zero-Shot Learning)或零数据学习(Zero-data Learning) 零例学习是迁移学习/Domain Adaptation的一个特例。source domain存在带标签的数据,模型在source domain训练好之后,因为在第一阶段的学习已经可以很好分离类别,模型迁移到target domain直接可以使用,不需要任务target domain的标记样本去调整模型参数。sou...
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Abstract 1. Introduction 3. Formalising Zero-shot Generalisation In RL 3.1 Background: Generalisation In Supervised Learning GenGap 3.3 Contextual Markov Decision Processes 3.4 Training And Testing Contexts 3.5 Real World Examples of Thi...
Zero-Shot Detection (ZSD) is a challenging computer vision problem that enables simultaneous classification and localization of previously unseen objects via auxiliary information. Most of the existing methods learn a biased visual-semantic mapping function, which prefers predicting seen classes during test...
Fault stands out in contrast: Zero-shot diagnosis method based on dual-level contrastive fusion network for control moment gyroscopes predictive maintenance 来自 dx.doi.org 喜欢 0 阅读量: 2 作者:H Liu,Q Xu,H He 摘要: Control moment gyroscope diagnosis using neural network without fault samples....
Pascal VOC 2007+2012, training 2007 train set (2072)+ 2012 train set(3909), testing 2007 val+test set(1402) Proposed seen/unseen split on MS-COCO 稀有性和多样性 (1). 根据训练集中实例的总数,按升序(in ascending order)对每个超类中的类进行排序。
近些年的AI顶会上,还就真的出现了这么一个研究方向——Zero-Shot Coordination(ZSC),专门在这样的问题中进行一些简单的MARL实验,去年也开始看到国内大佬尝试钻研这类方向。 在这里主要记录自己对一些比较有名的工作的一波调研Talk。我将依次介绍ZSC的定义、主要benchmark、两类方法、论文中人机协作实验用到的metrics...