2results about How to "Enhanced feature information" patented technology

The application discloses a marine ship detection method based on feature extraction and feature weighting selection fusion. First, remote sensing ship images are collected to construct a data set. Then, a ship detection model is constructed, the remote sensing ship images are input into the model to obtain fusion features, and then the fusion features are input into a detection head of the model for detection to obtain a detection result. Then, the model is trained, the remote sensing ship images are input into the model, and after multiple rounds of training, a final model is obtained. Finally, the remote sensing ship images are input into the trained model to output ship types and positioning information. The application utilizes dynamic learning sampling point offset and modulation factors to enable convolution kernels to change according to ship shapes and enhance feature information. In the feature fusion stage, feature pyramid networks based on hierarchical scales are developed to fully utilize feature maps from different scales and enhance the feature expression capability of the model.

The present disclosure provides a data classification method, device, storage medium and electronic equipment. The method comprises: obtaining first generated content data to be classified, and performing feature extraction on the first generated content data based on a first neural network model to obtain first features; obtaining a generated content reference feature set, the generated content reference feature set comprising a plurality of generated content feature pairs, each generated content feature pair comprising a key feature and a value feature, the key feature being extracted based on the first neural network model, and the value feature being extracted based on a second neural network model; determining a plurality of target generated content feature pairs in the generated content reference feature set according to a first similarity between the first features and the key features; performing feature fusion on the first features and the value features in the plurality of target generated content feature pairs to obtain second features; and determining a classification label of the first generated content data according to the second features. The method can improve the accuracy of data classification.