CV Code | 计算机视觉开源周报 20190701期
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7月第一周的周末，盘点了这一周的新出开源代码。
神经架构搜索（小米）
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li
https://arxiv.org/abs/1907.01845v1
http://github.com/fairnas/FairNAS
绘图的对称性检测与分类（这个蛮有意思的）
Symmetry Detection and Classification in Drawings of Graphs
Felice De Luca, Md Iqbal Hossain, Stephen Kobourov
https://arxiv.org/abs/1907.01004v1
https://github.com/enggiqbal/mlsymmetric
通过伪彩色乳房X线图片和Mask R-CNN进行全自动计算机辅助乳房块状物检测和分割
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P Bradley, Shekhar S. Chandra
https://arxiv.org/abs/1906.12118v1
https://github.com/Holliemin9090/Mammographic-mass-CAD-via-pseudo-color-mammogram-and-Mask-R-CNN
Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al
Ashley Daniel Gritzman
https://arxiv.org/abs/1907.00652v1
https://github.com/IBM/matrix-capsules-with-em-routing
单路径移动AutoML：高效卷积网络设计与神经架构搜索超参数优化
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
https://arxiv.org/abs/1907.00959v1
https://github.com/dstamoulis/single-path-nas
用于乳头状粘液性肿瘤（IPMN）诊断的膨胀神经网络
INN: Inflated Neural Networks for IPMN Diagnosis
Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
https://arxiv.org/abs/1907.00437v1
https://github.com/lalonderodney/INN-Inflated-Neural-Nets
1D卷积神经网络用于树叶与时序信号分类
A 1d convolutional network for leaf and time series classification
Dongyang Kuang
https://arxiv.org/abs/1907.00069v1
https://github.com/dykuang/Leaf
实时RGB-D图像的深度校正
Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time
Christoph Heindl, Thomas Pönitz, Gernot Stübl, Andreas Pichler, Josef Scharinger
https://arxiv.org/abs/1907.00549v1
https://github.com/cheind/rgbd-correction
医学图像分割 | 三维经直肠超声前列腺分割的深层注意特征
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni
https://arxiv.org/abs/1907.01743v1
https://github.com/wulalago/DAF3D
移动GPUs的神经网络推断，代码已经并入TensorFlow Lite
On-Device Neural Net Inference with Mobile GPUs
Juhyun Lee, Nikolay Chirkov, Ekaterina Ignasheva, Yury Pisarchyk, Mogan Shieh, Fabio Riccardi, Raman Sarokin, Andrei Kulik, Matthias Grundmann
https://arxiv.org/abs/1907.01989v1
https://tensorflow.org/lite
Mask嵌入条件GAN，用于指导高分辨率图像的生成
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images
Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Lo
https://arxiv.org/abs/1907.01710v1
https://github.com/johnryh/Face_Embedding_GAN
医学图像分割 | 用于MR图像的解剖和异常分割的卷积深度神经网络
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
Jimit Doshi, Guray Erus, Mohamad Habes, Christos Davatzikos
https://arxiv.org/abs/1907.02110v1
https://ipp.cbica.upenn.edu/
视线跟踪
Believe It or Not, We Know What You Are Looking at!
Dongze Lian, Zehao Yu, Shenghua Gao
https://arxiv.org/abs/1907.02364v1
https://github.com/svip-lab/GazeFollowing
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