Vehicle model identification method and device based on experience playback, equipment and medium
A vehicle model and identification method technology, applied in the field of image processing, can solve problems such as lack of diversity, single information, and inability to meet the needs of vehicle information identification
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[0052] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0053] Aiming at the problems existing in the prior art, the present invention provides a vehicle model recognition method, device, equipment and medium based on experience playback. The present invention proposes to use a deep convolutional neural network to increase the ability of vehicle model recognition for the vehicle recognition system, and designs an expansion method for vehicle appearance image training samples based on GAN (generated confrontation network). The vehicle exterior samples of the image generated using an optimized GAN with experience replay.
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