Performance on ImageNet validation set

Accuracy on validation set (single model)

Results were obtained using (center cropped) images of the same size.

Model	Version	Acc@1	Acc@5
NASNet-A-Large	Tensorflow	82.69	96.16
NASNet-A-Large	Our porting	82.50	95.45
InceptionResNet-v2	Tensorflow	80.40	95.30
SENet154	Caffe	81.32	95.53
SENet154	Our porting	81.32	95.45
InceptionResNet-v2	Our porting	80.28	95.14
SE-ResNeXt101_32x4d	Our porting	80.28	95.02
Inception-v4	Tensorflow	80.20	95.30
SE-ResNeXt101_32x4d	Caffe	80.19	95.04
Inception-v4	Our porting	80.10	94.89
ResNeXt101_64x4d	Torch7	79.60	94.70
DualPathNet131	Our porting	79.44	94.60
DualPathNet98	Our porting	79.23	94.49
SE-ResNeXt50_32x4d	Our porting	79.11	94.48
SE-ResNeXt50_32x4d	Caffe	79.03	94.46
Xception	Keras	79.00	94.50
ResNeXt101_64x4d	Our porting	78.98	94.26
ResNeXt101_32x4d	Torch7	78.80	94.40
Xception	Our porting	78.79	94.26
SE-ResNet152	Caffe	78.66	94.46
SE-ResNet152	Our porting	78.64	94.39
SE-ResNet101	Our porting	78.42	94.17
SE-ResNet101	Caffe	78.25	94.28
ResNet152	Pytorch	78.25	93.98
ResNeXt101_32x4d	Our porting	78.22	93.94
FBResNet152	Torch7	77.84	93.84
SE-ResNet50	Caffe	77.63	93.64
SE-ResNet50	Our porting	77.61	93.80
Inception-v3	Pytorch	77.50	93.59
FBResNet152	Our porting	77.44	93.54
ResNet101	Pytorch	77.31	93.56
DenseNet161	Pytorch	77.15	93.60
DenseNet201	Pytorch	76.93	93.39
CaffeResnet101	Caffe	76.40	92.90
CaffeResnet101	Our porting	76.11	92.70
ResNet50	Pytorch	76.01	92.93
DualPathNet68	Our porting	75.95	92.78
DenseNet169	Pytorch	75.63	92.81
DenseNet121	Pytorch	74.47	91.97
VGG19_BN	Pytorch	74.22	91.85
NASNet-A-Mobile	Our porting	74.10	91.78
NASNet-A-Mobile	Tensorflow	74.00	91.60
BNInception	Our porting	73.48	91.55
VGG16_BN	Pytorch	73.48	91.54
ResNet34	Pytorch	73.27	91.43
VGG19	Pytorch	72.36	90.85
MobileNet-v2	Pytorch	71.81	90.41
VGG16	Pytorch	71.63	90.37
VGG13_BN	Pytorch	71.62	90.36
VGG11_BN	Pytorch	70.41	89.72
VGG13	Pytorch	69.98	89.31
ResNet18	Pytorch	69.64	88.98
MobileNet-v1	Pytorch	69.52	88.98
VGG11	Pytorch	68.87	88.66
ShuffleNet	Pytorch	67.41	87.26
GoogLeNet	Our porting	66.45	87.52
SqueezeNet-v1.1	Pytorch	58.18	80.51
SqueezeNet-v1.0	Pytorch	58.00	80.49
Alexnet	Pytorch	56.62	79.06