【深度学习论文阅读】计算机视觉论文汇总
| 名称 | 年份 | 作者 | 文章名 | 链接 | 被引 |
|---|---|---|---|---|---|
| Neocognitron | 1980 | Kunihiko Fukushima(福岛·邦彦) | Neocognitron: a self-organizing neural network model for a mechanism of visual pattern recognition | https://link.springer.com/article/10.1007/BF00344251 | 3192 |
| TDNN | 1989 | A. Waibel、T. Hanazawa、G. Hinton | phoneme recognition using time-delay neural networks | https://www.cs.toronto.edu/~hinton/absps/waibelTDNN.pdf | 2712 |
| LeNet5 | 1998 | Yann LecunLeon BottouY. BengioY. BengioPatrick HaffnerPatrick Haffner | gradient based learning applied to document recognition | http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf | 17427 |
| ReLU | 2010 | Vinod Nair Geoffrey E. Hinton | Rectified Linear Units Improve Restricted Boltzmann Machines | https://www.cs.toronto.edu/~hinton/absps/reluICML.pdf | 5389 |
| pooling | 2010 | Y-Lan Boureau2 Jean Ponce Yann LeCun | A Theoretical Analysis of Feature Pooling in Visual Recognition | https://www.di.ens.fr/sierra/pdfs/icml2010b.pdf | 753 |
| dropout | 2012 | Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan R. Salakhutdinov | Improving neural networks by preventing co-adaptation of feature detectors | https://arxiv.org/abs/1207.0580 | 3591 |
| AlexNet | 2012 | Alex Krizhevsky、Ilya Sutskever、Geoffrey E. Hinton | imagenet classification with deep convolutional neural networks | https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf | 37662 |
| R-CNN | 2013 | Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik | Rich feature hierarchies for accurate object detection and semantic segmentation | https://arxiv.org/abs/1311.2524 | 7908 |
| NIN | 2014 | Min Lin, Qiang Chen, Shuicheng Yan | Network In Network | https://arxiv.org/abs/1312.4400 | 2360 |
| GoogleNet | 2014 | Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed | Going Deeper with Convolutions | https://arxiv.org/abs/1409.4842 | 12478 |
| VGG | 2014 | Karen Simonyan, Andrew Zisserman | VERY DEEP CONVOLUTIONAL NETWORKSFOR LARGE-SCALE IMAGE RECOGNITION | https://arxiv.org/abs/1409.1556 | 21057 |
| ResNet | 2015 | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun | Deep Residual Learning for Image Recognition | https://arxiv.org/abs/1512.03385 | 19999 |
| SPP | 2015 | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition | https://arxiv.org/abs/1406.4729 | 2518 |
| Fast R-CNN | 2015 | Ross Girshick | Fast R-CNN | https://arxiv.org/abs/1504.08083 | 4750 |
| Faster R-CNN | 2016 | Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | https://arxiv.org/abs/1506.01497 | 8591 |
| ResNeXt | 2016 | Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He | Aggregated Residual Transformations for Deep Neural Networks | https://arxiv.org/abs/1611.05431 | 812 |
| SeNet | 2017 | Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu | Squeeze-and-Excitation Networks | https://arxiv.org/abs/1709.01507 | 578 |
上述三种字体，其中
模型字体颜色为深青色的模型是关于图像分类Image Classification