Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

23 Feb 2016Christian SzegedySergey IoffeVincent VanhouckeAlex Alemi

Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance at relatively low computational cost... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Classification ImageNet Inception ResNet V2 Top 1 Accuracy 80.1% # 61
Top 5 Accuracy 95.1% # 39
Number of params 55.8M # 25

Methods used in the Paper