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Henan Tongwei Medical Equipment Co., LtdCall us : +86 − −19139704654 // Email us : [email protected]
Henan Tongwei Medical Equipment Co., LtdCall us : +86 − −19139704654 // Email us : [email protected]
2015-4-13arXiv:1409 1556v6 [cs CV] 10 Apr 2015 Published as a conference paper at ICLR 2015 VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION Karen Simonyan∗ Andrew Zisserman+ Visual Geometry Group Department of Engineering Science University of Oxford
2014-9-4In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convolution filters which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to
2019-12-23Very deep convolutional networks for large-scale image recognition arXiv preprint arXiv:1409 1556 (2014) [pdf] (VGGNet Neural Networks become very deep!) ⭐️⭐️⭐️ [6] Szegedy Christian et al Going deeper with convolutions Proceedings of the IEEE
2015-4-13arXiv:1409 1556v6 [cs CV] 10 Apr 2015 Published as a conference paper at ICLR 2015 VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION Karen Simonyan∗ Andrew Zisserman+ Visual Geometry Group Department of Engineering Science University of Oxford
2014-9-4In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convolution filters which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to
2016-3-1Very Deep Convolutional Networks For Large-Scale Image Recognition 2377 2016-08-31 VGGnet ：《Very Deep Convolutional Networks For Large-Scale Image Recognition》 1 visual geometry group（VGG）Karen Simonyan AndrewZisserman 2014 16-19
2015-4-13arXiv:1409 1556v6 [cs CV] 10 Apr 2015 Published as a conference paper at ICLR 2015 VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION Karen Simonyan∗ Andrew Zisserman+ Visual Geometry Group Department of Engineering Science University of Oxford
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