Authors
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke
Publication date
2016/2/23
Journal
arXiv preprint arXiv:1602.07261
Description
Abstract: 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.
Recently, the introduction of residual connections in conjunction with a more traditional
architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge; its
performance was similar to the latest generation Inception-v3 network. This raises the ...
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.
Recently, the introduction of residual connections in conjunction with a more traditional
architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge; its
performance was similar to the latest generation Inception-v3 network. This raises the ...
Total citations
201622
Scholar articles
C Szegedy, S Ioffe, V Vanhoucke - arXiv preprint arXiv:1602.07261, 2016
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