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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是341-350 订阅
排序:
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mundt, Martin Pliushch, Iuliia Ramesh, Visvanathan Goethe Univ Frankfurt Germany
In this paper we analyze the classification performance of neural network structures without parametric inference. Making use of neural architecture search, we empirically demonstrate that it is possible to find rando... 详细信息
来源: 评论
Efficient Tensor Voting with 3D Tensorial Harmonics
Efficient Tensor Voting with 3D Tensorial Harmonics
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ieee conference on computer vision and pattern recognition
作者: Reisert, Marco Burkhardt, Hans Univ Freiburg D-79110 Freiburg Germany
Tensor Voting is a robust technique to extract low-level features in noisy images. The approach achieves its robustness by exploiting coherent orientations in local neighborhoods. In this paper we propose an efficient... 详细信息
来源: 评论
Sparklevision: Seeing the World through Random Specular Microfacets
SparkleVision: Seeing the World through Random Specular Micr...
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ieee conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Zhengdong Isola, Phillip Adelson, Edward H. MIT Cambridge MA 02139 USA
In this paper, we study the problem of reproducing the light from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized ma... 详细信息
来源: 评论
Velocity and disparity cues for robust real-time binocular tracking
Velocity and disparity cues for robust real-time binocular t...
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1997 ieee computer society conference on computer vision and pattern recognition (CVPR 97)
作者: Rougeaux, S Kuniyoshi, Y Humanoid Interaction Lab Ibaraki Japan
We have designed and implemented a real-time binocular tracking system which uses two independent cues commonly found in the primary functions of biological visual systems to robustly track moving targets in complex e... 详细信息
来源: 评论
Can domain adaptation make object recognition work for everyone?
Can domain adaptation make object recognition work for every...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Prabhu, Viraj Selvaraju, Ramprasaath R. Hoffman, Judy Naik, Nikhil Georgia Tech Atlanta GA 30332 USA Artera AI Berkeley CA USA Salesforce Res Washington DC USA
Despite the rapid progress in deep visual recognition, modern computer vision datasets significantly overrepresent the developed world and models trained on such datasets underperform on images from unseen geographies... 详细信息
来源: 评论
Comparison of deep transfer learning strategies for digital pathology  31
Comparison of deep transfer learning strategies for digital ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mormont, Romain Geurts, Pierre Maree, Raphael Univ Liege Liege Belgium
In this paper, we study deep transfer learning as a way of overcoming object recognition challenges encountered in the field of digital pathology. Through several experiments, we investigate various uses of pre-traine... 详细信息
来源: 评论
Key Point-Based Driver Activity recognition
Key Point-Based Driver Activity Recognition
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vats, Arpita Anastasiu, David C. Santa Clara Univ Santa Clara CA 95053 USA
We present a key point-based activity recognition framework, built upon pre-trained human pose estimation and facial feature detection models. Our method extracts complex static and movement-based features from key fr... 详细信息
来源: 评论
Segmenting visual actions based on spatio-temporal motion patterns
Segmenting visual actions based on spatio-temporal motion pa...
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ieee conference on computer vision and pattern recognition (CVPR 2000)
作者: Rui, Y Anandan, P Microsoft Res Redmond WA 98052 USA
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of action or activity recognition, but ignore... 详细信息
来源: 评论
A Rao-Blackwellized particle filter for EigenTracking
A Rao-Blackwellized particle filter for EigenTracking
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conference on computer vision and pattern recognition
作者: Khan, Z Balch, T Dellaert, F Georgia Inst Technol Coll Comp Atlanta GA 30332 USA
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully applied in tracking. For noisy targets, opt... 详细信息
来源: 评论
iCub World: Friendly Robots Help Building Good vision Data-Sets
iCub World: Friendly Robots Help Building Good Vision Data-S...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Fanello, Sean Ryan Ciliberto, Carlo Santoro, Matteo Natale, Lorenzo Metta, Giorgio Rosasco, Lorenzo Odone, Francesca Ist Italiano Tecnol iCub Facil Genoa Italy Univ Genoa DIBRIS Genoa Italy Italian Inst Technol MIT LCSL I-16163 Genoa Italy
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid robot platform. Our set up allows fo... 详细信息
来源: 评论