《Table 2 The performance comparison of ik SVM[42], MRFr2[42], SSMLCNN and MSMLCNN》

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《Pedestrian attribute classification with multi-scale and multi-label convolutional neural networks》

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In Table 2，the results of the two baseline methods are directly cited from Ref.[42]and only 35 attributes’accuracies are obtained，thus for those results that were not reported in Ref.[42]are recorded as N/A.For the first 35 attributes，from Table 2，it can be found that both SSMLCNN and MSMLCNN excel the two baseline methods for most attributes and get 9.5%and 12.0%average accuracy improvements to the better baseline method（i.e.，MRFr2），respectively.