学习计算机视觉必须要读的10篇论文？
1. AlexNet: ImageNet Classification with Deep Convolutional Neural Networks
2. R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation
3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
4. Mask R-CNN
5. YOLOv3: An Incremental Improvement
6. U-Net: Convolutional Networks for Biomedical Image Segmentation
7. Deep Residual Learning for Image Recognition
8. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
9. Generative Adversarial Networks
10. CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
