信任你的好朋友:通过互惠邻里集群的源代码免费域名调整
IEEE transactions on pattern analysis and machine intelligence
|August 31, 2023
概括
本研究引入了一种新的无源域适应 (SFDA) 方法. 它利用目标数据作为杆.
科学领域:
- 机器学习 机器学习
- 计算机视觉 计算机视觉
- 人工智能的人工智能
背景情况:
- 域调整 (DA) 解决了源数据和目标数据域之间的差异.
- 传统的DA方法通常需要访问源数据,但由于隐私或知识产权问题,往往无法访问源数据.
- 无源域适应 (SFDA) 是一个具有挑战性的问题,适应发生在没有源数据的情况下.
研究的目的:
- 开发一种有效的SFDA方法,使预先训练的源代码模型适应目标域,而无需访问源数据.
- 利用目标数据中的内在集群结构来改进域调整.
- 通过考虑本地数据结构来提高标签的一致性和模型稳定性.
主要方法:
- 拟议的方法通过定义局部亲和关系来捕捉目标数据的内在结构.
- 它鼓励在具有高局部亲和度的目标样本中进行标签一致性,考虑相互邻居和扩展社区.
- 纳入目标样本密度,以减轻异常值的影响.
主要成果:
- 目标特征的固有结构是域调整的关键信息来源.
- 当地社区信息 (本地,互惠和扩展) 能够有效地捕捉到这种结构.
- 在2D图像和3D点云识别数据集上实现了最先进的性能.
结论:
- 拟议的SFDA方法有效地利用目标数据的局部结构进行适应.
- 利用目标数据的内在特性,如聚类和密度,是成功SFDA的关键.
- 该方法在不同数据类型和域中展示了强大的概括能力.
相关概念视频
Cluster Sampling Method
12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K
Area Computation by the Alternative Coordinate Method
82
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
82
Improving Translational Accuracy
2.6K
2.6K
Conservation of Protein Domains Over Different Proteins
10.9K
Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
10.9K
Factorial Design
13.1K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.1K
Horizontal Gene Transfer
39
Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
39


