通过相互学习学习从未配对的样本中学习影子去除.
概括
本研究介绍了一种新的弱监督学习模型,用于删除图像影子,仅使用图像级标签. 深度互惠学习方法可以交互训练影子移除和检测组件,以提高性能.
科学领域:
- 计算机视觉 计算机视觉
- 机器学习 机器学习
- 图像处理 图像处理
背景情况:
- 图像中的阴影降低了视觉质量,并使图像分析复杂化.
- 现有的影子去除方法通常需要像素级的注释,这是劳动密集型的.
- 弱监督的学习提供了一个有希望的替代方案,利用更不详细的标签.
研究的目的:
- 开发一个弱监督的影子去除模型,不依赖于像素相对配对的训练数据.
- 提出一个深度互惠学习框架,以共同优化影子清除和检测.
- 为了提高影子去除精度,使用图像级的影子存在标签.
主要方法:
- 一个深度互惠学习模型可以交互优化影子清除器和影子检测器.
- 影子去除是用隐藏的影子面具作为优化问题来制定的.
- 一个影子探测器是使用从影子清除器的先验训练,采用自律学习策略.
- 颜色维护损失和影子注意力区分器被纳入了改进的优化.
主要成果:
- 拟议的模型在消除阴影方面实现了卓越的性能.
- 在各种数据集上证明了有效性,包括ISTD,SRD和未配对的USR数据集.
- 弱监督的方法成功地处理了缺乏像素wise配对的训练样本的情况.
结论:
- 深度互惠学习模型为弱监督的影子清除提供了有效的解决方案.
- 影子移除和检测的交互式优化显著提高了模型的能力.
- 该方法提供了一种实用的方法,用于在有限注释数据的场景中去除阴影.
更多相关视频
相关概念视频
Observational Learning
225
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
225
Associative Learning
461
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
461
Avoidance Learning and Learned Helplessness
1.8K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.8K
Introduction to Learning
479
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
479
Residuals and Least-Squares Property
7.4K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.4K


