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Deep-ReID: Deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance
Abstract Person Re-identification (P-ReID) task searches for true matches of a given query
from a large repository of non-overlap** camera's images/videos. In smart cities …
from a large repository of non-overlap** camera's images/videos. In smart cities …
Dynamically visual disambiguation of keyword-based image search
Due to the high cost of manual annotation, learning directly from the web has attracted broad
attention. One issue that limits their performance is the problem of visual polysemy. To …
attention. One issue that limits their performance is the problem of visual polysemy. To …
Comparison of Face Classification with Single and Multi-model base on CNN
S Watcharabutsarakham… - … Joint Symposium on …, 2020 - ieeexplore.ieee.org
Since the coronavirus disease 2019 (COVID-19) outbreak has spread across the country,
our research applies to remind the people to wear a face mask when we go outside because …
our research applies to remind the people to wear a face mask when we go outside because …
State-of-the-arts person re-identification using deep learning
S Jaiswal, DK Vishwakarma - 2019 6th International …, 2019 - ieeexplore.ieee.org
Person Re-Identification has become prominent because of various reasons majorly due to
its high-performance methods based on deep-learning. It is the process of person …
its high-performance methods based on deep-learning. It is the process of person …
深度残差网络和 LSTM 结合的图像序列表情识别.
马玉环， 张瑞军， 武晨， 屈军锁 - Journal of Chongqing …, 2020 - search.ebscohost.com
为了改善图像表情和图像序列表情识别效果ꎬ 针对传统表情识别特征提取复杂和效果不理想
问题ꎬ 提出了一种深度残差网络和局部二值模式(local binary patternsꎬLBP) …
问题ꎬ 提出了一种深度残差网络和局部二值模式(local binary patternsꎬLBP) …
融合并行网络特征的人脸表情识别算法.
苗壮， 程卫月， 林克**， **骜 - Journal of Harbin University of …, 2022 - search.ebscohost.com
针对单一卷积神经网络对人脸表情特征提取不充分和参数量较大等问题, 提出了一种融合并行
网络特征的人脸表情识别算法. 该算法首先对ResNet 网络中的残差块进行修改 …
网络特征的人脸表情识别算法. 该算法首先对ResNet 网络中的残差块进行修改 …
Multi-model network for fine-grained cross-media retrieval
With the development of Internet, the forms of web data are rapidly increasing. However,
existing cross-media retrieval methods mainly focus on coarse-grained, which is far from …
existing cross-media retrieval methods mainly focus on coarse-grained, which is far from …
[PDF][PDF] 基于电能计量管理系统数据分析的配电网线变关系校验方法
宋宇， 余永忠， 梁旭常， 汪毅， 侯铁信 - 高电压技术, 2021 - epjournal.csee.org.cn
准确计算配电网线变关系是均衡配电网负荷, 提高线路运行可靠性的关键,
长期以来依靠人工方式校验配电网线变关系的方式耗时耗力. 因此, 在大数据分析的基础上 …
长期以来依靠人工方式校验配电网线变关系的方式耗时耗力. 因此, 在大数据分析的基础上 …
Extracting visual knowledge from the internet: making sense of image data
Recent successes in visual recognition can be primarily attributed to feature representation,
learning algorithms, and the ever-increasing size of labeled training data. Extensive …
learning algorithms, and the ever-increasing size of labeled training data. Extensive …
Facial Expression Recognition with Small Samples under Convolutional Neural Network
C Weiyue, J Geng, K Lin - International Conference on 5G for Future …, 2021 - Springer
In order to further improve the accuracy of facial expression recognition in small samples, a
small sample expression recognition method based on deep learning and fusion of different …
small sample expression recognition method based on deep learning and fusion of different …