今日新出 CV 论文汇总（含医学图像、目标检测、唇语识别、SLAM等）
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最近，52CV分享了多篇CVPR 2019 的论文，有位群友问难道除了CVPR 就没有值得读的论文了吗？当然不是，其实很多优秀的工作并不一定出自CVPR。CVPR肯定也有很多灌水的。
另外，不同的方向，会投不同的期刊会议。做医学图像处理识别的人貌似不喜欢到CVPR上投论文，但arXiv CV部分有大量医学图像处理的文献。做AR增强现实人机交互方向，可能更看中ISMAR。
本文汇总了今天arXiv CV部分新出的所有论文，涉及方向众多，其中最多的是医学图像处理识别，还有目标检测、唇语识别、网络压缩、车辆跟踪与重识别、多标签学习算法评估等，配以简单的题目翻译，所有论文均提供下载，有感兴趣的朋友请于“我爱计算机视觉”对话界面回复“cv325”，即可收到下载地址。
今天有三篇CVPR 2019 的论文，排在前三位。
1
Few-shot Adaptive Faster R-CNN
Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
目标检测
https://arxiv.org/abs/1903.09372
2
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang
城市级多目标多摄像头车辆跟踪与重识别。
https://arxiv.org/abs/1903.09254
3
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski
数据集。
https://arxiv.org/abs/1903.09233
4
On the Importance of Video Action Recognition for Visual Lipreading
Xinshuo Weng
人机交互，唇语识别，做来来自卡内基梅隆大学。
https://arxiv.org/pdf/1903.09616
5
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration
Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Inés Contreras, Yara T. Lechanteur, Artin Domanian, Bram van Ginneken, Clara I. Sánchez
医学图像处理识别，根据视网膜图像进行糖尿病检测。
https://arxiv.org/abs/1903.09555
6
Aggregated Deep Local Features for Remote Sensing Image Retrieval
Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H.N. de With
遥感影像处理识别，聚合深度局部特征的遥感图像检索。
https://arxiv.org/abs/1903.09469
7
Factorised Representation Learning in Cardiac Image Analysis
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle Williams, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
医学图像处理识别，心脏图像分析的分解表示学习。
https://arxiv.org/abs/1903.09467
8
Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network
Aupendu Kar, Prabir Kumar Biswas
图像超分辨率中的批归一化。
https://arxiv.org/abs/1903.09410
9
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
Xiaoguang Tu, Jian Zhao, Zihang Jiang, Yao Luo, Mei Xie, Yang Zhao, Linxiao He, Zheng Ma, Jiashi Feng
3D人脸重建，密集人脸对齐，2D辅助的自监督学习。
https://arxiv.org/abs/1903.09359
10
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Weihuang Xu, Guohao Yu, Alina Zare, Brendan Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix B Fritschi, Roser Matamala, Thomas E. Juenger
迁移学习。
https://arxiv.org/abs/1903.09344
11
Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation
Robert B. Grupp, Rachel A. Hegeman, Ryan J. Murphy, Clayton P. Alexander, Yoshito Otake, Benjamin A. McArthur, Mehran Armand, Russell H. Taylor
医学图像处理识别，髋臼周围截骨骨碎片手术中X射线导航姿态估计。
https://arxiv.org/abs/1903.09339
12
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
多模态图像无监督非刚体配准。
https://arxiv.org/abs/1903.09331
13
A resnet-based universal method for speckle reduction in optical coherence tomography images
Cai Ning, Shi Fei, Hu Dianlin, Chen Yang
利用ResNet网络进行图像去噪。
https://arxiv.org/abs/1903.09330
14
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann
基于GAN的最有结构化CNN剪枝。
https://arxiv.org/abs/1903.09291
15
Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network
Shi Yin, Zhengqiang Zhang, Qinmu Peng, Xinge You
医学影像的3D重建。
https://arxiv.org/abs/1903.09272
16
Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI
Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgraeber, Marcus Jäger, Josef Pauli
MRI图像分割。
https://arxiv.org/abs/1903.09263
17
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
医学图像处理识别，MRI脑肿瘤的检测与分类
https://arxiv.org/abs/1903.09240
18
Multi-person Articulated Tracking with Spatial and Temporal Embeddings
Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian
时空信息嵌入的多人关键点跟踪。
https://arxiv.org/abs/1903.09214
19
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification
Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman
深度学习多标签分类的语义比较评估。
https://arxiv.org/abs/1903.09190
20
Quantitative Depth Quality Assessment of RGBD Cameras At Close Range Using 3D Printed Fixtures
Michele Pratusevich, Jason Chrisos, Shreyas Aditya
RGBD相机的深度质量评价。
https://arxiv.org/abs/1903.09169
21
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction
Jiexiong Tang, John Folkesson, Patric Jensfelt
SLAM算法，Sparse2Dense，从稀疏里程计到密集3D重建。
https://arxiv.org/abs/1903.09199
论文下载：
请于“我爱计算机视觉”对话界面回复“cv325”，即可收到下载地址。
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