Adversarial elimination weak supervision target detection method based on channel selection
A channel selection and target detection technology, applied in the field of weakly supervised target detection based on confrontation elimination, can solve problems such as error, weakly supervised target detection and positioning, and achieve precise positioning, improved results, and improved accuracy.
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[0052] In order to enable those skilled in the art to better understand and use the present invention, the technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and specific implementation examples.
[0053] 1. Select the VOC dataset as the training and testing dataset. First, the images in the training set are used as the input images, and the input images are preprocessed, that is, multi-scale transformation, horizontal flipping and random cropping are performed on the input images to obtain the preprocessed training set.
[0054] 2. Use the images in the training set to generate a candidate frame set R through a selective search algorithm, that is, the rectangular coordinates of the possible positions of the objects. After deleting the redundant candidate boxes with similarity and coincidence greater than the set threshold of 0.7, the remaining candidate boxes are used as the input of the weakly supervised...
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