Clean plate recognition algorithm based on ResNet and simplified attention mechanism
A recognition algorithm for clean plate based on ResNet with simplified attention mechanism is proposed.The simplified attention mechanism shares the same attention block in the middle layer with similar structure,which not only pre-serves the feature extraction ability for important information domains,but also avoids the classification accuracy decrease and memory load caused by abuse of attention mechanism.The results of experiments on Plate Datasets show that,compared with the general attention mechanism,the recognition accuracy of models based on simplified attention is improved to some extent,and the number of additional parameters caused by attention mechanisms is reduced by 72％.In addition,the effectiveness of the simplified attention mechanism is verified on three public datasets with ten classifications.
万方数据
维普
