计算机视觉技术发展迅速,很多时候,可悲的不是我们没有努力,而是没有跟上时代的步伐。努力coding终于出来结果了,却发现早就有人开源了,效果还比自己写的好!
CV君汇总了最近过去的一周新出的开源代码,有好几篇和网络架构搜索、训练、特征学习相关,这些基础的工作一旦有突破将会极大改进整个行业的面貌。希望对你有启发。
医学影像分割,全脑分割
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
https://github.com/MASILab/SLANTbrainSeg
神经网络架构搜索
Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers
Jiahui Yu, Thomas Huang
https://github.com/JiahuiYu/slimmable_networks
人体姿态迁移
Dense Intrinsic Appearance Flow for Human Pose Transfer
Yining Li, Chen Huang, Chen Change Loy
http://mmlab.ie.cuhk.edu.hk/projects/pose-transfer
自监督学习
Self-Supervised Learning via Conditional Motion Propagation
Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy
http://mmlab.ie.cuhk.edu.hk/projects/CMP/
神经网络架构搜索
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
https://github.com/linnanwang/AlphaX-NASBench101
迁移学习
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang
https://github.com/wangshanshanCQU/MCTL
特征学习
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
Jaime Spencer, Richard Bowden, Simon Hadfield
https://github.com/jspenmar/SAND_features
目标计数
CODA: Counting Objects via Scale-aware Adversarial Density Adaption
Li Wang, Yongbo Li, Xiangyang Xue
https://github.com/Willy0919/CODA
网络训练,权重标准化
Weight Standardization
Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan Yuille
https://github.com/joe-siyuan-qiao/WeightStandardization
逼真风格迁移,基于小波变换
Photorealistic Style Transfer via Wavelet Transforms
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
https://github.com/ClovaAI/WCT2
基于反馈网络的图像超分辨率
Feedback Network for Image Super-Resolution
Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu
https://github.com/Paper99/SRFBN_CVPR19
支持CV君,请文末点个“在看”,谢谢