https://blog.youkuaiyun.com/u011171235/article/details/53606988
[1] arXiv:1612.01991 [pdf, other]
Diverse Sampling for Self-Supervised Learning of Semantic Segmentation语义分割中自监督学习的多样性抽样
Mohammadreza Mostajabi, Nicholas Kolkin, Gregory Shakhnarovich
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[2] arXiv:1612.01981 [pdf, other]
Core Sampling Framework for Pixel Classification
像素分类的核心采样框架
Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
[3] arXiv:1612.01958 [pdf, other]
Learning Diverse Image Colorization
学习不同图像的彩色化
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, David Forsyth
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[4] arXiv:1612.01939 [pdf, other]
Correlation Alignment for Unsupervised Domain Adaptation
用于非监督域自适应的相关对准
Baochen Sun, Jiashi Feng, Kate Saenko
Comments: Introduction to CORAL, CORAL-LDA, and Deep CORAL. arXiv admin note: text overlap with arXiv:1511.05547
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)
[5] arXiv:1612.01925 [pdf, other]
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0:深度网络的光流估计演变
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
Comments: Including supplementary material. For the video see: this http URL
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[6] arXiv:1612.01922 [pdf, ps, other]
Tag Prediction at Flickr: a View from the Darkroom
Flickr的标签预测:从暗室的观点
Pierre Garrigues, Sachin Farfade, Hamid Izadinia, Kofi Boakye, Yannis Kalantidis
Comments: Presented at the 1st LSCVS NIPS Workshop, 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[7] arXiv:1612.01895 [pdf, other]
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
多模态迁移:一种层次化的深度卷积神经网络用于快速艺术风格的传递
Xin Wang, Geoffrey Oxholm, Da Zhang, Yuan-Fang Wang
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[8] arXiv:1612.01887 [pdf, other]
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
知道什么时候看:自适应注意通过图像字幕视觉前哨
Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
[9] arXiv:1612.01834 [pdf, other]
Revisiting Winner Take All (WTA) Hashing for Sparse Datasets
重游赢家通吃(WTA)散列稀疏
Beidi Chen, Anshumali Shrivastava
Subjects: Computer Vision and Pattern Recognition (cs.CV); Information Retrieval (cs.IR)
[10] arXiv:1612.01820 [pdf, other]
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study
用无监督的纹理原型解释放射性肺气肿亚型:台面慢性阻塞性肺病研究
Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H.M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Comments: MICCAI workshop on Medical Computer Vision: Algorithms for Big Data (2016)
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[11] arXiv:1612.01810 [pdf, other]
FLIC: Fast Linear Iterative Clustering with Active Search
FLIC:快速线性主动搜索迭代聚类
Jia-Xin Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[12] arXiv:1612.01725 [pdf, other]
Deep Stereo Matching with Dense CRF Priors
深层立体密集匹配的CRF先验
Ron Slossberg, Aaron Wetzler, Ron Kimmel
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[13] arXiv:1612.01697 [pdf, other]
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
无参考和全参考图像质量评价的深神经网络
Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[14] arXiv:1612.01689 [pdf, other]
Cluster-Wise Ratio Tests for Fast Camera Localization
快速相机定位的集群明智比测试
Raúl Díaz, Charless C. Fowlkes
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[15] arXiv:1612.01669 [pdf, other]
MarioQA: Answering Questions by Watching Gameplay Videos
MarioQA:通过观看游戏视频,回答问题
Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung, Bohyung Han
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[16] arXiv:1612.01655 [pdf, other]
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
用于超声图像自动前列腺分割的细粒度递归神经网络
Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng
Comments: To appear in AAAI Conference 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[17] arXiv:1612.01635 [pdf, other]
Automatic Image Defect Diagnosis
自动图像缺陷诊断
Ning Yu, Xiaohui Shen, Zhe Lin, Radomir Mech, Connelly Barnes
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[18] arXiv:1612.01611 [pdf, other]
Automatic Event Detection for Signal-based Surveillance
信号基监控的自动事件检测
Jingxin Xu, Clinton Fookes, Sridha Sridharan
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[19] arXiv:1612.01601 [pdf, other]
Superpixels: An Evaluation of the State-of-the-Art
Superpixels:一个国家的艺术评价
David Stutz, Alexander Hermans, Bastian Leibe
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[20] arXiv:1612.01594 [pdf, other]
Object Classification with Joint Projection and Low-rank Dictionary Learning
联合投影和低秩字典学习的目标分类
Homa Foroughi, Nilanjan Ray, Hong Zhang
Comments: arXiv admin note: text overlap with arXiv:1603.07697; text overlap with arXiv:1404.3606 by other authors
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[21] arXiv:1612.01543 [pdf, ps, other]
Towards the Limit of Network Quantization
网络量化的极限
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
[22] arXiv:1612.01928 (cross-list from cs.CL) [pdf, other]
Invariant Representations for Noisy Speech Recognition
用于含噪声语音识别的不变表示
Dmitriy Serdyuk, Kartik Audhkhasi, Philémon Brakel, Bhuvana Ramabhadran, Samuel Thomas, Yoshua Bengio
Comments: 5 pages, 1 figure, 1 table, NIPS workshop on end-to-end speech recognition
Subjects: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Sound (cs.SD); Machine Learning (stat.ML)
[23] arXiv:1612.01756 (cross-list from cs.LG) [pdf, other]
Video Ladder Networks
视频梯形网络
Francesco Cricri, Mikko Honkala, Xingyang Ni, Emre Aksu, Moncef Gabbouj
Comments: Accepted at NIPS 2016 workshop on ML for Spatiotemporal Forecasting. This version of the paper contains results from a longer baseline run
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[24] arXiv:1612.01657 (cross-list from cs.MM) [pdf, other]
Binary Subspace Coding for Query-by-Image Video Retrieval
用图像视频检索查询的二元子空间编码
Ruicong Xu, Yang Yang, Yadan Luo, Fumin Shen, Zi Huang, Heng Tao Shen
Subjects: Multimedia (cs.MM); Computer Vision and Pattern Recognition (cs.CV)