ID 原文 译文
19505 实验结果表明，与其它认知交互模型相比，该文模型能够减少机器人对外界情感刺激的依赖并有效引导参与人参与人机交互，为机器人的情感认知建模提供了新的方法和思路。 The results of experiment show that compared with the others emotional interaction model, the proposed model can reduce the dependence of robots on external emotional stimuli and effective guide participants to participate in human-computer interaction, which provides some ideas for the emotion cognition model of robot in human-computer interaction.
19506 针对目标快速运动、遮挡等复杂视频场景中目标跟踪鲁棒性差和跟踪精度低的问题，该文提出一种基于多层卷积特征的自适应决策融合目标跟踪算法(ASFTT)。 To solve the problems of low robustness and tracking accuracy in target tracking when interferencefactors occur such as target fast motion and occlusion in complex video scenes, an Adaptive Strategy FusionTarget Tracking algorithm (ASFTT) is proposed based on multi-layer convolutional features.
19507 首先提取卷积神经网络(CNN)中帧图像的多层卷积特征，避免网络单层特征表征目标信息不全面的缺陷，增强算法的泛化能力； Firstly, the multi-layer convolutional features of frame images in Convolutional Neural Network(CNN) are extracted, which avoids the defect that the target information of the network is not comprehensive enough, so as to increase the generalization ability of the algorithm.
19508 使用多层特征计算帧图像相关性响应，提高算法的跟踪精度； Secondly, in order to improve the tracking accuracy of the algorithm,the multi-layer features are performed to calculate the correlation responses, which improves the tracking accuracy.
19509 最后该文使用自适应决策融合算法将所有响应中目标位置决策动态融合以定位目标，融合算法综合考虑生成响应的各跟踪器的历史决策信息和当前决策信息，以保证算法的鲁棒性。 Finally, the target position strategy in all responses are dynamically merged to locate the target through the adaptive strategy fusion algorithm in this paper. It comprehensively considers the historicalstrategy information and current strategy information of each responsive tracker to ensure the robustness.
19510 采用标准数据集OTB2013对该文算法和6种当前主流跟踪算法进行了仿真对比，结果表明该文算法具有更加优秀的跟踪性能。 Experiments performed on the OTB2013 evaluation benchmark show that that the performance of the proposed algorithm are better than those of the other six state-of-the-art methods.
19511 JPEG在高压缩比的情况下，解压缩后的图像会产生块效应、边缘振荡效应和模糊，严重影响了图像的视觉效果。 In the case of high compression rates, the JPEG decompressed image can produce blocking artifacts, ringing effects and blurring, which affect seriously the visual effect of the image.
19512 为了去除JPEG压缩伪迹，该文提出了多尺度稠密残差网络。 In order to remove JPEG compression artifacts, a multi-scale dense residual network is proposed.
19513 首先把扩张卷积引入到残差网络的稠密块中，利用不同的扩张因子，使其形成多尺度稠密块； Firstly, the proposed network introduces the dilate convolution into a dense block and uses different dilation factors to form multi-scale dense blocks.
19514 然后采用4个多尺度稠密块将网络设计成包含2条支路的结构，其中后一条支路用于补充前一条支路没有提取到的特征； Then, the proposed network uses four multi-scale dense blocks to design the network into a structure with two branches, and the latter branch is used to supplement the features that are not extracted by the previous branch.