@@ -202,7 +202,7 @@ Results were obtained using (center cropped) images of the same size than during
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Model | Version | Acc@1 | Acc@5
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--- | --- | --- | ---
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- NASNet-A-Large | [ Tensorflow] ( https://github.com/tensorflow/models/tree/master/slim ) | 82.693 | 96.163
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+ NASNet-A-Large | [ Tensorflow] ( https://github.com/tensorflow/models/tree/master/research/ slim ) | 82.693 | 96.163
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[ NASNet-A-Large] ( https://github.com/Cadene/pretrained-models.pytorch#nasnet ) | Our porting | 82.566 | 96.086
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SENet154 | [ Caffe] ( https://github.com/hujie-frank/SENet ) | 81.32 | 95.53
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[ SENet154] ( https://github.com/Cadene/pretrained-models.pytorch#senet ) | Our porting | 81.304 | 95.498
@@ -245,7 +245,7 @@ SE-ResNet50 | [Caffe](https://github.com/hujie-frank/SENet) | 77.63 | 93.64
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[ DualPathNet68] ( https://github.com/Cadene/pretrained-models.pytorch#dualpathnetworks ) | Our porting | 75.868 | 92.774
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[ DenseNet121] ( https://github.com/Cadene/pretrained-models.pytorch#torchvision ) | [ Pytorch] ( https://github.com/pytorch/vision#models ) | 74.646 | 92.136
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[ VGG19_BN] ( https://github.com/Cadene/pretrained-models.pytorch#torchvision ) | [ Pytorch] ( https://github.com/pytorch/vision#models ) | 74.266 | 92.066
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- NASNet-A-Mobile | [ Tensorflow] ( https://github.com/tensorflow/models/tree/master/slim ) | 74.0 | 91.6
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+ NASNet-A-Mobile | [ Tensorflow] ( https://github.com/tensorflow/models/tree/master/research/ slim ) | 74.0 | 91.6
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[ NASNet-A-Mobile] ( https://github.com/veronikayurchuk/pretrained-models.pytorch/blob/master/pretrainedmodels/models/nasnet_mobile.py ) | Our porting | 74.080 | 91.740
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[ ResNet34] ( https://github.com/Cadene/pretrained-models.pytorch#torchvision ) | [ Pytorch] ( https://github.com/pytorch/vision#models ) | 73.554 | 91.456
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[ BNInception] ( https://github.com/Cadene/pretrained-models.pytorch#bninception ) | Our porting | 73.522 | 91.560
@@ -276,7 +276,7 @@ Please see [Compute imagenet validation metrics](https://github.com/Cadene/pretr
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#### NASNet*
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- Source: [ TensorFlow Slim repo] ( https://github.com/tensorflow/models/tree/master/slim )
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+ Source: [ TensorFlow Slim repo] ( https://github.com/tensorflow/models/tree/master/research/ slim )
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- ` nasnetalarge(num_classes=1000, pretrained='imagenet') `
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- ` nasnetalarge(num_classes=1001, pretrained='imagenet+background') `
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