2020-04-10 00:45:02 +08:00
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# DPN与DenseNet系列
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## 概述
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2020-04-10 22:44:32 +08:00
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正在持续更新中......
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2020-04-10 00:45:02 +08:00
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所有模型在预测时，图像的crop_size设置为224，resize_short_size设置为256。
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## 精度、FLOPS和参数量
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| Models | Top1 | Top5 | Reference<br>top1 | Reference<br>top5 | FLOPS<br>(G) | Parameters<br>(M) |
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|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
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| DenseNet121 | 0.757 | 0.926 | 0.750 | | 5.690 | 7.980 |
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| DenseNet161 | 0.786 | 0.941 | 0.778 | | 15.490 | 28.680 |
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| DenseNet169 | 0.768 | 0.933 | 0.764 | | 6.740 | 14.150 |
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| DenseNet201 | 0.776 | 0.937 | 0.775 | | 8.610 | 20.010 |
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| DenseNet264 | 0.780 | 0.939 | 0.779 | | 11.540 | 33.370 |
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| DPN68 | 0.768 | 0.934 | 0.764 | 0.931 | 4.030 | 10.780 |
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| DPN92 | 0.799 | 0.948 | 0.793 | 0.946 | 12.540 | 36.290 |
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| DPN98 | 0.806 | 0.951 | 0.799 | 0.949 | 22.220 | 58.460 |
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| DPN107 | 0.809 | 0.953 | 0.802 | 0.951 | 35.060 | 82.970 |
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| DPN131 | 0.807 | 0.951 | 0.801 | 0.949 | 30.510 | 75.360 |
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## FP16预测速度
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| Models | batch_size=1<br>(ms) | batch_size=4<br>(ms) | batch_size=8<br>(ms) | batch_size=32<br>(ms) |
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|:--:|:--:|:--:|:--:|:--:|
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| DenseNet121 | 3.653 | 4.560 | 5.574 | 11.517 |
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| DenseNet161 | 7.826 | 8.936 | 10.970 | 22.554 |
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| DenseNet169 | 5.625 | 6.698 | 7.876 | 14.983 |
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| DenseNet201 | 7.243 | 8.537 | 10.111 | 18.928 |
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| DenseNet264 | 10.882 | 12.539 | 14.645 | 26.455 |
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| DPN68 | 10.310 | 11.060 | 14.299 | 29.618 |
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| DPN92 | 16.335 | 17.373 | 23.197 | 45.210 |
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| DPN98 | 18.975 | 23.073 | 28.902 | 66.280 |
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| DPN107 | 24.932 | 28.607 | 37.513 | 89.112 |
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| DPN131 | 25.425 | 29.874 | 37.355 | 88.583 |
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## FP32预测速度
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| Models | batch_size=1<br>(ms) | batch_size=4<br>(ms) | batch_size=8<br>(ms) | batch_size=32<br>(ms) |
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|:--:|:--:|:--:|:--:|:--:|
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| DenseNet121 | 3.732 | 6.614 | 8.517 | 21.755 |
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| DenseNet161 | 8.282 | 14.438 | 19.336 | 51.953 |
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| DenseNet169 | 5.705 | 10.074 | 12.432 | 28.756 |
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| DenseNet201 | 7.315 | 13.830 | 16.941 | 38.654 |
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| DenseNet264 | 10.986 | 21.460 | 25.724 | 56.501 |
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| DPN68 | 10.357 | 11.025 | 14.903 | 34.380 |
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| DPN92 | 16.067 | 21.315 | 26.176 | 62.126 |
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| DPN98 | 18.455 | 26.710 | 36.009 | 104.084 |
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| DPN107 | 24.164 | 37.691 | 51.307 | 148.041 |
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| DPN131 | 24.761 | 35.806 | 48.401 | 133.233 |
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