| No. | Figure | Title | Authors | Pub. | Links |
|---|---|---|---|---|---|
| 4 |  |
Deep Pyramidal Residual Networks | Dongyoon Han, Jiwhan Kim, Junmo Kim | CVPR 2017 | paper github ⭐ |
| 3 |  |
Densely Connected Convolutional Networks | Gao Huang, Zhuang Liu, Kilian Q. Weinberger | CVPR 2017 best |
paper github ⭐ |
| 2 |  |
Aggregated Residual Transformations for Deep Neural Networks | Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He | CVPR 2017 | paper github |
| 1 |  |
Residual Attention Network for Image Classification | Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang | CVPR 2017 | paper github ⭐ |
| No. | Figure | Title | Authors | Pub. | Links |
|---|---|---|---|---|---|
| 1 |  |
Deep Residual Learning for Image Recognition | Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun | CVPR 2016 best |
paper github ⭐ |
| No. | Figure | Title | Authors | Pub. | Links |
|---|---|---|---|---|---|
| 1 |  |
Going Deeper with Convolutions | Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed | CVPR 2015 | paper ⭐ |