(2) 我们设计了一个名为MADAN的新框架来进行语义分割的MDA。除了特征级对齐之外,还通过为每个源循环生成一个自适应域来进一步考虑像素级对齐,该域与新的动态语义一致性损失保持一致。提出了子域聚合鉴别器和跨域循环鉴别器,以更好地对齐不同的自适应域。(3) 我们从合成的GTA和SYNTHIA到真实的Cityscapes和BDDS数据...
In this paper, we propose a multi-source domain adaptation method with graph embedding and adaptive label prediction to tackle the challenge. Specifically, our method leverages subspace learning and label prediction to mitigate both the inter-domain and intra-domain discrepancies. From the view of ...
今天介绍一篇关于行人重识别UDA的方法,“Unsupervised Multi-Source Domain Adaptation for Person Re-Identifification ” 论文地址: https://arxiv.org/pdf/2104.12961.pdfarxiv.org/pdf/2104.12961.pdf Motion 以前UDA的方法,都是从一个标记了数据的域获取信息来适应另一个无标签的域。但是reid发展至今,有...
代码复现:基于迁移学习的小样本学习论文解读《Multisource Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network》视频中涉及的课件,PPT,电子书,代码等学习资料,发送一键三连截图,私信领取哦。找深度学习教程,机器学习教程,NLP教程,CV
Furthermore, it minimizes distance constraints for deep domain fusion. Multi-source domain adaptation involves multiple concurrent task learning, and the gradients are simultaneously back propagated. We validate the proposed framework on multi-source cross-domain sentiment classification datasets in Chinese ...
Mutual Learning Network for Multi-Source Domain AdaptationZhenpeng Li 1 , Zhen Zhao 1 , Yuhong Guo 1,2 , Haifeng Shen 1 , Jieping Ye 1AI Tech, DiDi Chuxing, China 1 , Carleton University, Canada 2AbstractEarly Unsupervised Domain Adaptation (UDA) methodshave mostly assumed the setting of ...
Optimal Transport for Multi-source Domain Adaptation under Target Shift 这篇论文在 Optical Transport 解决域适应的基础上,提出了域间类别不平衡的问题并加以解决。 (a)图是未做 Optical Transport 之前,…
Multi-Source Domain Adaptation for Object Detection 来自 arXiv.org 喜欢 0 阅读量: 267 作者:X Yao,S Zhao,P Xu,J Yang 摘要: To reduce annotation labor associated with object detection, an increasing number of studies focus on transferring the learned knowledge from a labeled source domain to ...
This neglects the more practical scenario where training data are collected from multiple sources, requiring multi-source domain adaptation. We make three major contributions towards addressing this problem. First, we collect and annotate by far the largest UDA dataset, called DomainNet, which ...
这篇文章 [1]比较新,今年七月刚挂在arxiv上面的,感觉比较有意思,就拿来记录一下。文章想要解决的问题是multi-source下的open-set domain adaptation[2],提出了一种叫做HyMOS(Hyperspherical Multi-source Ope…