@@ -31,24 +31,51 @@ Users can apply clustering with the following APIs:
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<table >
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<tr >
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- <th rowspan=2 >Model</th>
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- <th colspan=2 >Original</th>
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- <th colspan=3 >Clustered</th>
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+ <th rowspan="2" >Model</th>
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+ <th colspan="2" >Original</th>
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+ <th colspan="4" >Clustered</th>
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</tr >
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<tr >
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- <th>Top-1 accuracy</th>
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- <th>Size of compressed .tflite</th>
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+ <th >Top-1 accuracy (%)</th >
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+ <th>Size of compressed .tflite (MB)</th>
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+ <th>Configuration</th>
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<th># of clusters</th>
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- <th>Top-1 accuracy</th>
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- <th>Size of compressed .tflite</th>
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+ <th>Top-1 accuracy (%) </th>
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+ <th>Size of compressed .tflite (MB) </th>
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</tr >
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<tr >
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- <td>MobileNetV2</td>
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- <td>72.29%</td>
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- <td>13.0 MB</td>
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- <td>32</td>
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- <td>69.33%</td>
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- <td>2.6 MB</td>
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+ <td rowspan="3">MobileNetV1</td>
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+ <td rowspan="3">71.02</td>
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+ <td rowspan="3">14.96</td>
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+ </tr >
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+ <tr >
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+ <td>Selective (last 3 Conv2D layers)</td>
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+ <td>256, 256, 32</td>
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+ <td>70.62</td>
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+ <td>8.42</td>
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+ </tr >
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+ <tr >
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+ <td>Full (all Conv2D layers)</td>
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+ <td>64</td>
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+ <td>66.07</td>
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+ <td>2.98</td>
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+ </tr >
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+ <tr >
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+ <td rowspan="3">MobileNetV2</td>
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+ <td rowspan="3">72.29</td>
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+ <td rowspan="3">12.90</td>
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+ </tr >
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+ <tr >
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+ <td>Selective (last 3 Conv2D layers)</td>
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+ <td>256, 256, 32</td>
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+ <td>72.31</td>
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+ <td>7.00</td>
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+ </tr >
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+ <tr >
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+ <td >Full (all Conv2D layers)</td >
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+ <td >32</td >
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+ <td >69.33</td >
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+ <td >2.60</td >
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</tr >
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</table >
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@@ -60,22 +87,24 @@ The models were trained and tested on ImageNet.
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<tr >
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<th rowspan=2>Model</th>
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<th colspan=2>Original</th>
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- <th colspan=3 >Clustered</th>
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+ <th colspan=4 >Clustered</th>
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</tr >
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<tr >
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- <th>Top-1 accuracy</th>
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- <th>Size of compressed .tflite</th>
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+ <th>Top-1 accuracy (%)</th>
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+ <th>Size of compressed .tflite (MB)</th>
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+ <th>Configuration</th>
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<th># of clusters</th>
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- <th>Top-1 accuracy</th>
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- <th>Size of compressed .tflite</th>
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+ <th>Top-1 accuracy (%) </th>
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+ <th>Size of compressed .tflite (MB) </th>
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</tr >
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<tr >
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<td>DS-CNN-L</td>
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- <td>95.03%</td>
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- <td>1.5 MB</td>
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+ <td>95.03</td>
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+ <td>1.5</td>
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+ <td>Full</td>
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<td>32</td>
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- <td>94.71% </td>
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- <td>0.3 MB </td>
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+ <td>94.71</td>
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+ <td>0.3</td>
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</tr >
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</table >
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