<p>Comparison of the proposed method and the existing methods using dataset (ii).</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparison of the proposed method with two relevant methods in terms of mAP and Prec@10 (%).</p
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
<p>Comparison of the proposed method and the existing methods using dataset (i).</p
Comparison of the proposed approach using Dataset 2 with five algorithm results reported in [9].</p
<p>Comparison of previous proposed method with our proposed method for Acer dataset.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison between traditional and proposed methods in three different databases.</p
Comparison of the proposed method with other conventional methods for throughput of each class.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
Comparison of our proposed method and existing methods on the MS COCO 2014 val.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Performance comparison of the proposed method with state-of-the-art methods on the OT Scene dataset....
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparison of the proposed method with two relevant methods in terms of mAP and Prec@10 (%).</p
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
<p>Comparison of the proposed method and the existing methods using dataset (i).</p
Comparison of the proposed approach using Dataset 2 with five algorithm results reported in [9].</p
<p>Comparison of previous proposed method with our proposed method for Acer dataset.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison between traditional and proposed methods in three different databases.</p
Comparison of the proposed method with other conventional methods for throughput of each class.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
Comparison of our proposed method and existing methods on the MS COCO 2014 val.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Performance comparison of the proposed method with state-of-the-art methods on the OT Scene dataset....
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparison of the proposed method with two relevant methods in terms of mAP and Prec@10 (%).</p
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
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