CV Code | 计算机视觉开源周报 20190601期

 

刚刚过去的一周有很多有意思的工作开源了,比如接吻检测、从步态中进行疾病检测。

我们一起来看看吧。

 

基于CNN的社交网络中室外图像的人类情感分类研究

OutdoorSent: Can Semantic Features Help Deep Learning in Sentiment Analysis of Outdoor Images?

Wyverson B. de Oliveira, Leyza B. Dorini, Rodrigo Minetto, Thiago H. Silva

https://arxiv.org/abs/1906.02331v1

http://dainf.ct.utfpr.edu.br/outdoorsent

 

直接从两幅图像通过CNN回归单应性矩阵,远远好于之前的SOTA方法

STN-Homography: estimate homography parameters directly

Qiang Zhou, Xin Li

https://arxiv.org/abs/1906.02539v1

 

好莱坞电影中接吻镜头检测,少儿不宜。。。

Detecting Kissing Scenes in a Database of Hollywood Films

Amir Ziai

https://arxiv.org/abs/1906.01843v1

http://github.com/amirziai/kissing-detector

 

使用深度学习提取拓扑关系

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew Buman, Pavan Turaga

https://arxiv.org/abs/1906.01769v1

https://github.com/anirudhsom/PI-Net

 

跨任务引导注意力模型的一通路多任务模型,用于脑肿瘤分割

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao

https://arxiv.org/abs/1906.01796v1

https://github.com/chenhong-zhou/OM-Net

 

非监督行人重识别

Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

Guodong Ding, Salman Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli

https://arxiv.org/abs/1906.01308v1

https://github.com/gddingcs/Dispersion-based-Clustering.git

 

基于深度学习方法的步态视频中疾病检测

Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

Rahil Mehrizi, Xi Peng, Shaoting Zhang, Ruisong Liao, Kang Li

https://arxiv.org/abs/1906.01480v1

https://github.com/rmehrizi/multi-view-pose-estimation

 

BMVC 2017

多视3D目标识别

Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

Chu Wang, Marcello Pelillo, Kaleem Siddiqi

https://arxiv.org/abs/1906.01592v1

https://github.com/fate3439/dscnn

 

生成对抗网络综述和术语

Generative Adversarial Networks: A Survey and Taxonomy

Zhengwei Wang, Qi She, Tomas E. Ward

https://arxiv.org/abs/1906.01529v1

https://github.com/sheqi/GAN_Review

 

评估可缩放的贝叶斯深度学习方法,用于鲁棒计算机视觉

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

https://arxiv.org/abs/1906.01620v1

https://github.com/fregu856/evaluating_bdl

 

跨域级联深度特征的图像变换方法

Cross-Domain Cascaded Deep Feature Translation

Oren Katzir, Dani Lischinski, Daniel Cohen-Or

https://arxiv.org/abs/1906.01526v1

(将开源,代码未公布)

 

基于语义的医学图像融合方法

A Semantic-based Medical Image Fusion Approach

Fanda Fan, Yunyou Huang, Lei Wang, Xingwang Xiong, Zihan Jiang, Zhifei Zhang, Jianfeng Zhan

https://arxiv.org/abs/1906.00225v1

https://github.com/fanfanda/Medical-Image-Fusion

 

区域特定的微分形式的度量映射用于图像配准

Region-specific Diffeomorphic Metric Mapping

Zhengyang Shen, François-Xavier Vialard, Marc Niethammer

https://arxiv.org/abs/1906.00139v1

https://github.com/uncbiag/registration

 

通过渐进和选择性实例切换进行目标检测的数据增广

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo

https://arxiv.org/abs/1906.00358v1

https://github.com/Hwang64/PSIS

 

深度学习边缘检测的对抗样例

Adversarial Examples for Edge Detection: They Exist, and They Transfer

Christian Cosgrove, Alan L. Yuille

https://arxiv.org/abs/1906.00335v1

 

通过对抗鲁棒学习感知校正表示

Learning Perceptually-Aligned Representations via Adversarial Robustness

Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry

https://arxiv.org/abs/1906.00945v1

https://git.io/robust-reps

 

凝视校正,自监督GAN

GazeCorrection:Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks

Jichao Zhang, Meng Sun, Jingjing Chen, Hao Tang, Yan Yan, Xueying Qin, Nicu Sebe

https://arxiv.org/abs/1906.00805v1

https://github.com/zhangqianhui/GazeCorrection

 

深度学习数钢筋的CNN-DC方法

Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks

Zhun Fan, Jiewei Lu, Benzhang Qiu, Tao Jiang, Kang An, Alex Noel Josephraj, Chuliang Wei

https://arxiv.org/abs/1906.00891v1

https://github.com/BenzhangQiu/Steel-bar-Detection

 

从视频中学习人-物交互的热点方法

Grounded Human-Object Interaction Hotspots from Video (Extended Abstract)

Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman

https://arxiv.org/abs/1906.01963v1

http://vision.cs.utexas.edu/projects/interaction-hotspots/

 

深度学习GAN辅助电子显微镜成像

Partial Scan Electron Microscopy with Deep Learning

Jeffrey M. Ede, Richard Beanland

https://arxiv.org/abs/1905.13667v1

https://github.com/Jeffrey-Ede/partial-STEM

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