Bird Image Recognition Based on Multiscale Attention
Different sub-categories of bird images have similar appearances,while objects of the same category show large in-tra-class variances due to complex backgrounds and pose.To solve this problem,a convolutional neural network model based on multi-scale attention is proposed.The model gradually focuses on the attention from the global image to the target and component im-ages through the target module and component module of parameter-free learning and forms a three-branch network model that can input multi-scale images.Furthermore,an ordering loss is introduced to reduce background interference.On the CUB-200-2011 and NABirds datasets,the recognition accuracy of the model is 87.21%and 85.96%,respectively.Compared with the baseline mod-el,the recognition accuracy is effectively improved,which verifies the effectiveness of the model.
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