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

@inproceedings{Szegedy2016Inceptionv4IA,
  title={Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning},
  author={Christian Szegedy and Sergey Ioffe and Vincent Vanhoucke},
  booktitle={AAAI},
  year={2016}
}
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… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 1,771 CITATIONS

An End-to-End Baseline for Video Captioning

VIEW 7 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Livestock detection in aerial images using a fully convolutional network

  • Computational Visual Media
  • 2019
VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A Community Detection Approach to Cleaning Extremely Large Face Database

  • Comp. Int. and Neurosc.
  • 2018
VIEW 11 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A Novel Idea of Classification of E-commerce Products Using Deep Convolutional Neural Network

  • 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)
  • 2018
VIEW 8 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2014
2019

CITATION STATISTICS

  • 271 Highly Influenced Citations

  • Averaged 562 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 19 REFERENCES

Deep Residual Learning for Image Recognition

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2015
VIEW 11 EXCERPTS
HIGHLY INFLUENTIAL

Going deeper with convolutions

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2014
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

and X

M. Abadi, A. Agarwal, +36 authors Y. Yu
  • Zheng. Tensor- Flow: Large-scale machine learning on heterogeneous systems
  • 2015
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Rethinking the Inception Architecture for Computer Vision

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2015
VIEW 3 EXCERPTS

DeepPose: Human Pose Estimation via Deep Neural Networks

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2014
VIEW 1 EXCERPT

ImageNet Large Scale Visual Recognition Challenge

  • International Journal of Computer Vision
  • 2014
VIEW 1 EXCERPT

Large-Scale Video Classification with Convolutional Neural Networks

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2014
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…