Local region image retrieval(LRIR) is a special type of image retrieval(IR), the aim is to find an image that con- tains the same or similar region with the query region from a database.In a regular IR system, global descriptors lack the ability to find patch-level matches between images. As a result, it is difficult to retrieve images based on partial matching.这句话有错吗?
时间: 2023-02-12 22:14:44 浏览: 109
这句话没有错误。Local region image retrieval(LRIR) 是一种特殊的图像检索(IR),目的是在数据库中找到与查询区域相同或相似的区域的图像。在常规 IR 系统中,全局描述符缺乏寻找图像之间块级匹配的能力。因此,基于部分匹配检索图像是困难的。
相关问题
Feature Representation Learning for Unsupervised Cross-domain Image Retrieval
Feature representation learning for unsupervised cross-domain image retrieval refers to the process of extracting meaningful features from images in one domain (e.g., paintings) and using those features to retrieve similar images in another domain (e.g., photographs). This is typically done in an unsupervised manner, meaning that no explicit labels or annotations are provided to guide the learning process.
One common approach to unsupervised feature representation learning is to use deep neural networks, such as convolutional neural networks (CNNs), to extract high-level features from images. These features can then be used to train a retrieval model that maps images from one domain to the other based on their similarity in feature space.
There are several challenges to unsupervised cross-domain image retrieval, including differences in image content, style, and quality between domains. To address these challenges, researchers have developed a variety of techniques, such as domain adaptation, data augmentation, and adversarial training, to improve the performance of feature representation learning for cross-domain image retrieval.
Overall, feature representation learning for unsupervised cross-domain image retrieval is an important area of research with many potential applications, including art history, fashion, and product recommendation.
org.datanucleus.exceptions.NucleusException: Attempt to invoke the "HikariCP" plugin to create a ConnectionPool gave an error : Failed to initialize pool: Public Key Retrieval is not allowed
这个异常是因为在使用 HikariCP 连接池时,JDBC 驱动程序使用了 MySQL 8+ 的默认身份验证插件(caching_sha2_password)而没有启用 TLS(Transport Layer Security)加密。因此,MySQL 8+ 默认情况下禁止公钥检索,并且连接池无法正常工作。
解决方法是在 MySQL 8+ 中启用 TLS 加密,或者使用旧版的身份验证插件(mysql_native_password)来连接数据库。你可以在创建 HikariCP 连接池时添加以下属性来使用旧版身份验证插件:
```
jdbcUrl=jdbc:mysql://localhost:3306/mydatabase?useSSL=false&allowPublicKeyRetrieval=true&useLegacyDatetimeCode=false&serverTimezone=UTC
```
其中 `allowPublicKeyRetrieval=true` 参数启用公钥检索,`useSSL=false` 参数禁用 TLS 加密。