Yantai University

Weiqing Yan

Zhaowei Liu

Yongchao Song

Haiyang Wang

Hang Su

Wenhan Hou

Xinxin Zhao

Jindong Xu

Anzuo Jiang

Tengjiang Wang

Diantong Liu

Haonan Wen

Peng Song

Dezhi Guo

The present invention relates to the technical field of expression recognition, and in particular, to an expression recognition method and system based on multi-scale features and spatial attention. The method includes: performing feature extraction on acquired facial image data by using an HNFER neural network model to obtain an original input feature map; performing pooling and concatenation on extracted features based on a CoordAtt attention mechanism to obtain a feature map; performing deep convolution processing on the feature map to obtain an attention map, and then performing element-by-element multiplication to obtain a final feature map; and performing feature transformation and normalization on the final feature map to obtain an expression category probability and output the expression category probability. In the present invention, by integrating scale perception and spatial attention technologies, the model can recognize and classify different emotional states more accurately and maintain high performance even under complex environmental conditions.

Expression recognition method and system based on multi-scale features and spatial attention

The present invention relates to the technical field of network security, and in particular to an abnormal data detection method, system and device for industrial Internet. This detection method compares data distribution of an initial node with a normal feature expression performance in first normal data distribution subject to extraction processing to obtain a first anomaly score, compares the data distribution of the initial node with the normal feature expression performance in second normal data distribution subject to enhancement processing to obtain a second anomaly score, obtains a risk level of the node based on the first anomaly score and the second anomaly score, and immediately provides corresponding limits on a node communication permission; and the method provides dual detection, is high in accuracy and stable in detection results, and facilitates the maintenance of industrial Internet security.

Abnormal data detection method, system and device for industrial internet

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Yantai, China

Weiqing Yan