Weakly supervised convolutional neural network image target positioning method
The invention discloses a weakly supervised convolutional neural network image target positioning method, which comprises the following steps of: establishing a convolutional neural network classification model with a batch normalization layer, training the convolutional neural network classificatio...
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| creator | ZHANG YUNJIANG PU XITONG LUO CHUNBO XU YAN XU JIALANG LUO YANG WEI SHICAI |
| description | The invention discloses a weakly supervised convolutional neural network image target positioning method, which comprises the following steps of: establishing a convolutional neural network classification model with a batch normalization layer, training the convolutional neural network classification model, and storing the trained convolutional neural network classification model; s2, inputting ato-be-positioned image into the convolutional neural network classification model trained in the step S1, and obtaining a feature map output by the deep convolutional layer; performing weighted fusionon the obtained feature map to obtain a saliency map; converting the obtained saliency map into a thermodynamic diagram, and superposing the thermodynamic diagram on the input image to generate a composite image; and storing or visualizing the obtained composite image to obtain a target positioning image. According to the weak supervision convolutional neural network image target positioning method using the batch normali |
| format | Patent |
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According to the weak supervision convolutional neural network image target positioning method using the batch normali</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Weakly supervised convolutional neural network image target positioning method |
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