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174results about How to "Strong response" patented technology

Surface defect detection method based on multi-scale convolution and trilinear global attention

PendingCN112465790AAlleviate the problem of imbalanceAnnotated data is lowImage enhancementImage analysisPattern recognitionActivation function
The invention discloses a surface defect detection method based on multi-scale convolution and trilinear global attention, and the method comprises the steps: carrying out the convolution and poolingof trunk features in an encoding module, and extracting shallow feature maps of an image under different scales; obtaining a deep feature map through up-sampling and convolution operations in a decoding module; fusing the shallow feature maps and the deep feature map together through four times of splicing operation in the middle; converting the shallow feature map into a shallow attention map bya first branch of the trilinear global attention module through linear operation, activating the deep feature map by a second branch through compression to obtain a deep feature weight of the deep feature map, and then weighting the deep feature weight to the shallow feature map; in a decision-making network module, processing an output feature map of the decoding module by using global average pooling and global maximum pooling, outputting the probability that a surface defect image has defects through an activation function, and outputting a grey-scale map of a potential position of the defect through 1*1 convolution operation for visually explaining a neural network.
Owner:TIANJIN UNIV

Vision significance detection method based on Weber's law and center-periphery hypothesis

The invention relates to a vision significance detection method based on Weber's law and center-periphery hypothesis. The conventional method is low in resolution, incomplete in extracted object outline and high in computational complexity. The method comprises the following steps of: extracting color component graphs of original images in a CIELAB space by adopting a color transformation method; calculating horizontal gradient difference excitation values and vertical gradient difference excitation values of pixel points in the 1 color component graph, the color component graph and the b color component graph according to the Weber's law; calculating the difference excitation value of a random gradient direction according to the horizontal gradient difference excitation values and the vertical gradient difference excitation values, and counting a difference excitation value histogram; and finally, establishing local significance excitation vectors of the pixel points to obtain local significance judgment values and overall significance excitation values, and calculating the significance judgment values according to the local significance judgment values and the overall significance excitation values. By the method, vision significance graphs with the same resolution as the input images can be acquired, and stronger response in a significance region can be realized.
Owner:镭戈斯智能装备江苏有限公司

Graphene composite magnetic photocatalyst Mn1-xZnxFe2O4/BiVO4/RGO preparation method

The present invention relates to a graphene composite magnetic photocatalyst Mn1-xZnxFe2O4/BiVO4/RGO preparation method belonging to the field of inorganic photocatalytic materials. A heterojunction composite photocatalyst formed by loading sheet layer graphene (RGO) and magnetic Mn1-xZnxFe2O4 particles onto monoclinic BiVO4 has strong conductivity, impedance value (103 Omega.cm<2>) of the heterojunction composite photocatalyst is significantly less than impedance value (351 Omega.cm<2>) of BiVO4 or impedance value (206 Omega.cm<2>) of Mn1-xZnxFe2O4 / BiVO4; the composite catalyst can be used for visible light photocatalytic degradation of rhodamine B, 1.5 hour degradation rate is up to 96%, specific saturation magnetization is 8.21emu . g<-1>, due to strong magnetism, the composite photocatalyst is easy to recover by use of an applied magnetic field, the recovery rate is not less than 89%, degradation rate on RhB of the recovered catalyst is still 85%; the graphene composite magnetic material prepared by the method has high visible light catalytic activity, strong stability and large recovery rate, can significantly improve the removal efficiency and speed when being used in optical degradation of organic pollutants, and has good use prospects.
Owner:CHONGQING UNIV
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