| ID | 原文 | 译文 |
| 38866 | 在保证算法的实时性的同时，有效提升了小交通标志的检测性能。 | The proposed method effectively improves the detection performance of small traffic signs while ensuring real-time performance. |
| 38867 | 实验结果表明，本文算法模型能够在真实环境下准确实时地检测小交通标志。 | Experimental results show that the algorithm model in this paper can detect traffic signs in real environment accurately and in real-time. |
| 38868 | 在长沙理工大学中国交通标志检测数据集CCTSDB上取得93.2%的mAP，模型大小仅为17.3M，检测每张图像的时间为0.022 s。 | On the CSUST Chinese traffic sign detection benchmark(CCTSDB), our model obtained 93.2% mAP with the only 17.3 M model size, and 0.022 seconds for detecting each image. |
| 38869 | 图像检索是计算机视觉领域的一个重要分支。 | Image retrieval is an important branch of computer vision. |
| 38870 | 其主要目的是从图像数据库中找出与查询图像相似的语义图像。 | Its main purpose is to find the similar semantic images to the query image from the image database. |
| 38871 | 传统的图像检索方法是在查询图像和数据库图像之间进行“点到点”检索。 | The traditional image retrieval method is a “point-to-point” retrieval between the query image and the database. |
| 38872 | 但是，单个查询图像包含的类别提示较少，即类别信息较弱，使得检索结果并不理想。 | However, a single query image contains fewer category hints, that is, the category information is weaker, and the retrieval results are not satisfactory. |
| 38873 | 为了解决这个问题，本文提出了一种基于“点到面”的类别检索策略来扩展一个图像(点)到一个图像类别(面)，这意味着从单个查询图像到整个图像类别的语义扩展。 | In this paper, the “point-to-flat” category-based retrieval strategy is proposed to extend an image(point) to an image category(flat), which means the semantic extension from the individual query image to the whole image category. |
| 38874 | 该方法挖掘了查询图像的类别信息。 | The proposed method mines the category information of the query image. |
| 38875 | 在两个常用的数据集上对所提出方法的性能进行了评估。 | The performance of the proposed method is evaluated on two commonly used databases. |