CVPR 2017-02-06

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[1] arXiv:1702.01105 [pdf, other]
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
联合2D-3D-语义数据的室内场景理解
Iro Armeni, Sasha Sax, Amir R. Zamir, Silvio Savarese
Comments: The dataset is available this http URL
Subjects: Computer Vision and Pattern Recognition (cs.CV); Robotics (cs.RO)

[2] arXiv:1702.00953 [pdf, ps, other]
Deep Learning with Low Precision by Half-wave Gaussian Quantization
半波高斯量化的低精度深度学习
Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

[3] arXiv:1702.00932 [pdf, ps, other]
A method of limiting performance loss of CNNs in noisy environments
嘈杂环境中卷积神经网络的一个限制性能损失的方法
James R. Geraci, Parichay Kapoor
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[4] arXiv:1702.00926 [pdf, other]
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
FCSS：密集的语义对应完全卷积的自相似性
Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[5] arXiv:1702.00882 [pdf, ps, other]
Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation
种子化的Laplaican：提出一种基于交互式图像分割特征函数解
Ahmed Taha, Marwan Torki
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[6] arXiv:1702.00871 [pdf, other]
Deep Learning For Video Saliency Detection
视频显著性检测的深度学习
Wenguan Wang, Jianbing Shen, Ling Shao
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:1702.00824 [pdf, other]
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
YouTube-BoundingBoxes：视频目标检测的大型高精度人工标注数据集
Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1702.01005 (cross-list from cs.LG) [pdf, other]
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
在线线性鲁棒子空间学习的内在格拉斯曼平均
Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

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