Unmanned aerial vehicle platform-oriented vehicle re-identification method based on multistage attention mechanism
A technology of attention and drones, applied in character and pattern recognition, computer components, image data processing, etc., can solve the problems of insufficient clarity of the image to be recognized, complex changes in the viewing angle of the target object, etc., and achieve effective feature description Effect
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[0019] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:
[0020] Such as figure 1 As shown, the main structure of the present invention can be divided into three branches. The global branch is a multi-objective task model whose backbone network is a ResNet-50 pre-trained on ImageNet. In this branch, the present invention takes full advantage of rich annotations by training multi-object models for re-identification, ID classification and attribute classification. In addition, in the bottom-up attention branch, the present invention uses a large amount of labeled discriminative region data to train a detector model as a discriminative region detector. The present invention utilizes the trained monitor to detect discriminative regions of the input image and construct a series of masks. By utilizing these mask values, the present invention uses mask average pooling to extract five local features belonging to specific dis...
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