推荐几篇2015年之后的图像处理领域的经典论文

以下是几篇2015年之后的图像处理领域的经典论文：

1. "Deep Residual Learning for Image Recognition" - Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun (2016)
2. "Generative Adversarial Networks" - Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio (2014)
3. "Mask R-CNN" - Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick (2017)
4. "Learning to See by Moving" - Pulkit Agrawal, João Carreira, Jitendra Malik (2015)
5. "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift" - Sergey Ioffe, Christian Szegedy (2015)
6. "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs" - Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille (2018)
7. "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks" - Alec Radford, Luke Metz, Soumith Chintala (2016)
8. "Densely Connected Convolutional Networks" - Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger (2017)
9. "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" - Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf (2014)
10. "Deep Photo Style Transfer" - Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala (2017)

这些论文在图像处理领域有着重要的贡献，对深度学习、图像分类、图像分割、风格迁移等方面都进行了深入研究。