Trademark retrieval method and system based on attention mechanism, computer equipment and storage medium
A technology of attention and trademarks, applied in computer components, calculations, neural learning methods, etc., can solve problems such as inaccurate key features of trademark images, and achieve the effect of optimizing losses
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Embodiment 1
[0045] This embodiment provides a trademark retrieval method based on attention mechanism, such as figure 1 As shown, the method includes the following steps:
[0046] S1: Obtain a trademark data set; the trademark data set is a METU trademark data set.
[0047] S2: Build channel attention network module;
[0048] S3: The preprocessing module preprocesses the trademark image in the trademark data set to obtain the preprocessed trademark image x i , i=1,2,...,n, n is the number of preprocessed trademark images, and it is input into the channel attention network module;
[0049]S4: Channel attention network module according to feature channel domain weight ω i For the preprocessed trademark image x i Train and distribute to obtain the preprocessed trademark image x i Corresponding initial trademark features v i ,i=1,2,...n, the initial trademark feature v i Form the initial trademark feature set V, and input the initial trademark feature set V into the instance distinguis...
Embodiment 2
[0069] This embodiment provides a trademark retrieval system based on attention mechanism, such as image 3 As shown, the system includes a preprocessing module, a channel attention network module, an instance distinguishing module and a retrieval module;
[0070] The preprocessing module preprocesses the trademark image in the trademark data set to obtain the preprocessed trademark image;
[0071] The channel attention network module trains and distributes the preprocessed trademark images to obtain an initial trademark feature set;
[0072] The instance distinguishing module calculates the loss and optimizes the initial trademark features in the initial trademark feature set, obtains trademark feature training data to form a training data set, uses the training data set to train an unsupervised network, and obtains a feature extraction network;
[0073] The retrieval module measures the similarity between the trademark image features to be retrieved and the trademark featur...
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