Rethinking the Inception Architecture for Computer Vision

CVPR 2016 Christian SzegedyVincent VanhouckeSergey IoffeJonathon ShlensZbigniew Wojna

Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmarks... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Image Classification ImageNet Inception V3 Top 1 Accuracy 78.8% # 45
Image Classification ImageNet Inception V3 Top 5 Accuracy 94.4% # 40
Image Classification ImageNet Inception V3 Number of params 23.8M # 1