无监督人员的服装不变对比学习重新识别重新识别
Zhiqi Pang1, Lingling Zhao1, Chunyu Wang1
1Faculty of Computing, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
概括
这项研究引入了一种新的服装不变对比学习 (CICL) 框架,用于无监督服装变换人员重新识别 (CC-ReID). CICL框架有效地处理服装变化,通过监督方法实现具有竞争力的性能.
科学领域:
- 计算机视觉 计算机视觉
- 机器学习 机器学习
- 人工智能的人工智能
背景情况:
- 换衣服的人重新识别 (CC-ReID) 对于在不同服装的图像中匹配个人至关重要.
- 现有的CC-ReID方法主要依赖于监督学习,需要大量的手动注释.
- 对高效,无监督的CC-ReID解决方案的需求是显著的.
研究的目的:
- 为CC-ReID开发一个新的无监督框架,解决监督方法的局限性.
- 为了使准确的人重新识别,尽管显著的服装变化.
- 在CC-ReID任务中减少对手动注释数据集的依赖.
主要方法:
- 提出了一个无监督CC-ReID的服装不变对比学习 (CICL) 框架.
- 引入随机服装增强 (RCA) 以有效地生成服装更换的正对.
- 开发了用于无监督伪标签生成的语义融合集群 (SFC) 和用于强大的特征学习的语义对齐对比损失 (SAC损失).
主要成果:
- 与现有的无监督CC-ReID方法相比,CICL框架显示出更高的性能.
- 在多个数据集上取得了竞争性结果,甚至与监督的CC-ReID方法竞争.
- 拟议的RCA和SFC方法有效地促进了服装不变学习和身份相关特征提取.
结论:
- CICL框架为CC-ReID提供了一个强大的无监督解决方案,克服了服装变化的挑战.
- 这种方法显著减少了对手册注释的需求,使CC-ReID更实用.
- 该方法显示了对现实世界应用的强大潜力,需要在各种场景中进行强有力的个人重新识别.
相关概念视频
01:22Force Classification
1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
01:12Perceptual Constancy
381
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
381
01:05Difference from Background: Limit of Detection
6.3K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
6.3K
01:24Prosopagnosia
155
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
155
01:12Modeling and Similitude
261
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
261
02:16Stereotype Content Model
14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K