【今日CS 视觉论文速览】 21 Jan 2019
今日CS.CV计算机视觉论文速览
Mon, 21 Jan 2019
Totally 23 papers
Interesting:
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用于手写字体超分辨的生成对抗分类器，通过在GAN后增加额外的分类器，可以有效提升超分辨率。(from 西交利物浦)
引入的分类器相关损失:
生成器、判别器和分类器的内部架构：
数据集:
CASIA,MNIST
RELATED:https://github.com/integeruser/CASIA-HWDB1.1-cnn -
基于块匹配的图像去噪,基于GMM聚类的方法提出新的详细图像块匹配方法，克服BM3D, LPCA and PLOW存在的问题。(from 波特兰大学)
数据集： Berkeley Segmentation Dataset -
DeepOtsu，基于堆叠深度学习的手写/印刷品文件图像质量提升，随后二值化的过程。（from 格尼罗根大学 荷兰）
文章中提出的退化模型，包含了目标和噪声两部分：
用不同的cnn堆叠优化方法：
一些结果：
相关数据集：
Train：
DIBCO 2009 [43], H-DIBCO 2010 [44] and H-DIBCO 2012 [45]， Bickely-diary dataset [46], PHIDB [47] and the Synchromedia Multispectral dataset [48].
Test：
DIBCO 2011 [49],DIBCO 2013 [50], H-DIBCO 2014 [51] and H-DIBCO 2016 [52]
DIBCO2017 《–DIBCO数据集 -
快速高维滤波核,基于Nystrom method将大型矩阵特征值分解进行约化，并应用于双边滤波和非线性均值滤波中。
实现的去噪结果：
高速高质量：
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尺度注意力的人群计数网络，多层级的密度图估计，引入尺度损失函数解决了距离相机远近的尺度问题、不同分辨率下的尺度问题。(from亚马逊)
数据集： UCF-QNRF, ShanghaiTechA & B and UCF_CC_50. -
基于条件GANs生成血红细胞实现图像增强,基于image-to-image 迁移技术通过给定细胞的mask来生成逼真的细胞图像(from 韩国Noul公司 )
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深度学习的总结
Daily Computer Vision Papers
[1] Title: ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining
Authors:Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
[2] Title: Embedded CNN based vehicle classification and counting in non-laned road traffic
Authors:Mayank Singh Chauhan, Arshdeep Singh, Mansi Khemka, Arneish Prateek, Rijurekha Sen
[3] Title: Adapting Convolutional Neural Networks for Geographical Domain Shift
Authors:Pavel Ostyakov, Sergey I. Nikolenko
[4] Title: Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Authors:Fan Yang, Lei Zhang, Sijia Yu, Danil Prokhorov, Xue Mei, Haibin Ling
[5] Title: Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Authors:Wei Sun, Tianfu Wu
[6] Title: Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks
Authors:Oleksandr Bailo, DongShik Ham, Young Min Shin
[7] Title: Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Authors:Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang
[8] Title: Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Authors:Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi
[9] Title: Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification
Authors:Weitao Feng, Zhihao Hu, Wei Wu, Junjie Yan, Wanli Ouyang
[10] Title: Fast High-Dimensional Kernel Filtering
Authors:Pravin Nair, Kunal N. Chaudhury
[11] Title: CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint
Authors:Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang
[12] Title: Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration
Authors:Unni V. S., Sanjay Ghosh, Kunal N. Chaudhury
[13] Title: DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
Authors:Sheng He, Lambert Schomaker
[14] Title: Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
Authors:Zizheng Yan, Xiaoguang Han, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui
[15] Title: Good Similar Patches for Image Denoising
Authors:Si Lu
[16] Title: High-speed Video from Asynchronous Camera Array
Authors:Si Lu
[17] Title: A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Authors:Asifullah Khan, Anabia Sohail, Umme Zahoora, Aqsa Saeed Qureshi
[18] Title: Scale-Aware Attention Network for Crowd Counting
Authors:Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo
[19] Title: FARSA: Fully Automated Roadway Safety Assessment
Authors:Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, Nathan Jacobs
[20] Title: Instance-Level Microtubule Segmentation Using Recurrent Attention
Authors:Samira Masoudi, Afsaneh Razi, Cameron H.G. Wright, Jay C. Gatlin, Ulas Bagci
[21] Title: PSACNN: Pulse Sequence Resilient Fast Whole Brain Segmentation
Authors:Amod Jog, Andrew Hoopes, Douglas N. Greves, Koen Van Leemput, Bruce Fischl
[22] Title: Robust Anomaly Detection in Images using Adversarial Autoencoders
Authors:Laura Beggel, Michael Pfeiffer, Bernd Bischl
[23] Title: Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Authors:Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris
Papers from arxiv.org
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