Image classification method and system based on double attention mechanisms, and electronic equipment
A classification method and attention technology, applied in the field of image processing, can solve the problems of limited accurate expression, unable to better ensure that local features have similar feature expression, weak correlation, etc., to achieve accurate and robust image feature expression, improve Image classification performance, the effect of efficient weight adaptive allocation
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[0032] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.
[0033] please see figure 1 , a kind of image classification method based on double attention mechanism provided by the invention, comprises the following steps:
[0034] Step 1: Build a Transformer-based spatial dimension self-attention network and a Transformer-based feature map channel dimension self-attention network;
[0035] please see figure 2 , the Transformer-based spatial dimension self-attention network of this embodiment, the first layer is 3 parallel convolution kernels is a convolution operation with a step size of 1 × 1, the second layer is ...
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