|
@@ -49,7 +49,8 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
|
|
|
### ImageNet Classification
|
|
### ImageNet Classification
|
|
|
|
|
|
|
|
(from Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, ImageNet Classification with Deep Convolutional Neural Networks, NIPS, 2012.)
|
|
(from Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, ImageNet Classification with Deep Convolutional Neural Networks, NIPS, 2012.)
|
|
|
-
|
|
|
|
|
|
|
+ * Microsoft (Deep Residual Learning) [[Paper](http://arxiv.org/pdf/1512.03385v1.pdf)][[Slide](http://research.microsoft.com/en-us/um/people/kahe/ilsvrc15/ilsvrc2015_deep_residual_learning_kaiminghe.pdf)]
|
|
|
|
|
+ * Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image Recognition, arXiv:1512.03385.
|
|
|
* Microsoft (PReLu/Weight Initialization) [[Paper]](http://arxiv.org/pdf/1502.01852)
|
|
* Microsoft (PReLu/Weight Initialization) [[Paper]](http://arxiv.org/pdf/1502.01852)
|
|
|
* Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, arXiv:1502.01852.
|
|
* Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, arXiv:1502.01852.
|
|
|
* Batch Normalization [[Paper]](http://arxiv.org/pdf/1502.03167)
|
|
* Batch Normalization [[Paper]](http://arxiv.org/pdf/1502.03167)
|
Jung Kwon Lee