Directly estimate 3D attention map

Residual Attention

文章标题：Residual Attention Network for Image Classification 作者：Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang 发表时间：(CVPR 2017)

SENet

文章标题：Squeeze-and-Excitation Networks 作者：Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu 发表时间：(CVPR 2018)

基于 RNN 的方法

RAM

文章标题： 作者： 发表时间：()

CycleGAN

文章标题：Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks 作者：Jun-Yan Zhu, Taesung Park, Phillip Isola Alexei A. Efros

DALL·E·2

文章标题：Hierarchical Text-Conditional Image Generation with CLIP Latents |
作者：Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen

GAN

文章标题：Generative Adversarial Networks 作者：Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair,