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检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"
2181 条 记 录,以下是341-350 订阅
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Deep Crisp Boundaries  30
Deep Crisp Boundaries
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30th IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Yupei Zhao, Xin Huang, Kaiqi CASIA CRIPAC Beijing Peoples R China CASIA NLPR Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Tech Beijing Peoples R China
Edge detection has made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level performance on standard benchmarks. We provide a systematical st... 详细信息
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Latent Multi-view Subspace Clustering  30
Latent Multi-view Subspace Clustering
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30th IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Changqing Hu, Qinghua Fu, Huazhu Zhu, Pengfei Cao, Xiaochun Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China Agcy Sci Technol & Res Inst Infocomm Res Singapore Singapore Chinese Acad Sci IIE State Key Lab Informat Secur Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China
In this paper, we propose a novel Latent Multi-view Subspace Clustering (LMSC) method, which clusters data points with latent representation and simultaneously explores underlying complementary information from multip... 详细信息
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Fuzzy-aided syntactic scene analysis
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7th International conference on Computational Science (ICCS 2007)
作者: Bielecka, Marzena Skomorowski, Marek AGH Univ Sci & Technol Dept Goeinformat & Appl Comp Sci Mickiewicza 30 PL-30059 Krakow Poland Jagiellonian Univ Inst Comp Sci Krakow Poland
In syntactic pattern recognition a pattern can be described by a graph. the problem of recognition is to determine if a pattern, represented by a describing graph, belongs to a language L(G), generated by a graph gram... 详细信息
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Video Desnowing and Deraining Based on Matrix Decomposition  30
Video Desnowing and Deraining Based on Matrix Decomposition
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30th IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ren, Weihong Tian, Jiandong Han, Zhi Chan, Antoni Tang, Yandong Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China City Univ Hong Kong Hong Kong Hong Kong Peoples R China
the existing snow/rain removal methods often fail for heavy snow/rain and dynamic scene. One reason for the failure is due to the assumption that all the snowflakes/rain streaks are sparse in snow/rain scenes. the oth... 详细信息
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Empirical Minimum Bayes Risk Prediction: How to extract an extra few% performance from vision models with just three more parameters  27
Empirical Minimum Bayes Risk Prediction: How to extract an e...
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27th IEEE conference on computer vision and pattern recognition (CVPR)
作者: Premachandran, Vittal Tarlow, Daniel Batra, Dhruv Natl Univ Singapore Singapore 117548 Singapore Microsoft Res Redmond WA USA Virginia Tech Blacksburg VA 24061 USA
When building vision systems that predict structured objects such as image segmentations or human poses, a crucial concern is performance under task-specific evaluation measures (e.g. Jaccard Index or Average Precisio... 详细信息
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Sparse Quantization for Patch Description
Sparse Quantization for Patch Description
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26th IEEE conference on computer vision and pattern recognition (CVPR)
作者: Boix, Xavier Gygli, Michael Roig, Gemma Van Gool, Luc Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
the representation of local image patches is crucial for the good performance and efficiency of many vision tasks. Patch descriptors have been designed to generalize towards diverse variations, depending on the applic... 详细信息
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Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description  30
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Desc...
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30th IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Xishan Gao, Ke Zhang, Yongdong Zhang, Dongming Li, Jintao Tian, Qi Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Univ Texas San Antonio Dept Comp Sci San Antonio TX USA
Integrating complementary features from multiple channels is expected to solve the description ambiguity problem in video captioning, whereas inappropriate fusion strategies often harm rather than help the performance... 详细信息
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7th chinese conference on pattern recognition, CCPR 2016
7th Chinese Conference on Pattern Recognition, CCPR 2016
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7th chinese conference on pattern recognition, CCPR 2016
the proceedings contain 62 papers. the special focus in this conference is on Robotics, computer vision and Basic theory of pattern recognition. the topics include: Constrained spectral clustering on face annotation s...
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Object recognition from local scale-invariant features
Object recognition from local scale-invariant features
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Proceedings of the 1999 7th IEEE International conference on computer vision (ICCV'99)
作者: Lowe, David G. Univ of British Columbia Vancouver BC Canada
An object recognition system has been developed that uses a new class of local image features. the features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes an... 详细信息
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Robust Stereo Matching with an Unfixed and Adaptive Disparity Search Range  26
Robust Stereo Matching with an Unfixed and Adaptive Disparit...
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26th International conference on pattern recognition / 8th International Workshop on Image Mining - theory and Applications (IMTA)
作者: Liu, Jiazhi Liu, Feng Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China
Stereo matching is an essential basis for various applications in computer vision, but currently, most stereo matching methods have poor generalization performance and require a fixed disparity search range. In this w... 详细信息
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