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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261-270 订阅
排序:
MUSE: Robust surface fitting using unbiased scale estimates
MUSE: Robust surface fitting using unbiased scale estimates
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Miller, JV Stewart, CV RENSSELAER POLYTECH INST TROYNY 12180
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructured environments, requires a robust es... 详细信息
来源: 评论
Fine-grained Activity recognition in Baseball Videos  31
Fine-grained Activity Recognition in Baseball Videos
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Piergiovanni, A. J. Ryoo, Michael S. Indiana Univ Dept Comp Sci Bloomington IN 47408 USA
In this paper, we introduce a challenging new dataset, MLB-YouTube, designed for fine-grained activity detection. The dataset contains two settings: segmented video classification as well as activity detection in cont... 详细信息
来源: 评论
Attention control for robot vision
Attention control for robot vision
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Westin, CF Westelius, CJ Knutsson, H Granlund, G LINKOPING UNIV DEPT ELECT ENGNCOMP VIS LABS-58183 LINKOPINGSWEDEN
Focus of attention mechanisms for robot vision are discussed. A new method for neglecting low level filter responses from already modelled structures is presented. The method is based on a filtering technique termed n... 详细信息
来源: 评论
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic S...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Szabo, Attila Jamali-Rad, Hadi Mannava, Siva-Datta Shell Global Solut Int BV Amsterdam Netherlands Delft Univ Technol TU Delft Delft Netherlands
Traditional empirical risk minimization (ERM) for semantic segmentation can disproportionately advantage or disadvantage certain target classes in favor of an (unfair but) improved overall performance. Inspired by the... 详细信息
来源: 评论
Road detection with EOSResUNet and post vectorizing algorithm  31
Road detection with EOSResUNet and post vectorizing algorith...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Filin, Oleksandr Zapara, Anton Panchenko, Serhii EOS Data Analyt Menlo Pk CA 94027 USA
Object recognition on the satellite images is one of the most relevant and popular topics in the problem of pattern recognition. This was facilitated by many factors, such as a high number of satellites with high-reso... 详细信息
来源: 评论
Importance is in your attention: agent importance prediction for autonomous driving
Importance is in your attention: agent importance prediction...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hazard, Christopher Bhagat, Akshay Buddharaju, Balarama Raju Liu, Zhongtao Shao, Yunming Lu, Lu Omari, Sammy Cui, Henggang Motional Boston MA 02210 USA
Trajectory prediction is an important task in autonomous driving. State-of-the-art trajectory prediction models often use attention mechanisms to model the interaction between agents. In this paper, we show that the a... 详细信息
来源: 评论
Real-time 2-D feature detection on a reconfigurable computer
Real-time 2-D feature detection on a reconfigurable computer
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1998 ieee computer-society conference on computer vision and pattern recognition
作者: Benedetti, A Perona, P CALTECH Pasadena CA 91125 USA
We have designed and implemented a system for real-time detection qi 2-D features on a reconfigurable computer based on Field Programmable Gate Arrays (FPGA's). We envision this device as the front-end si a system... 详细信息
来源: 评论
Diagnosing Rarity in Human-object Interaction Detection
Diagnosing Rarity in Human-object Interaction Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kilickaya, Mert Smeulders, Arnold QUvA Deep Vis Lab Amsterdam Netherlands
Human-object interaction (HOI) detection is a core task in computer vision. The goal is to localize all human-object pairs and recognize their interactions. An interaction defined by a tuple leads to a long-tailed vi... 详细信息
来源: 评论
MEDIUM LEVEL SCENE REPRESENTATION USING A VLSI SMART HEXAGONAL SENSOR WITH MULTIRESOLUTION EDGE EXTRACTION CAPABILITY AND SCALE-SPACE INTEGRATION PROCESSING
MEDIUM LEVEL SCENE REPRESENTATION USING A VLSI SMART HEXAGON...
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1994 ieee computer-society conference on computer vision and pattern recognition
作者: TREMBLAY, M SAVARD, M POUSSART, D UNIV LAVAL DEPT ELECT ENGNCOMP VISION & DIGITAL SYST LABQUEBEC CITY G1K 7P4QUEBECCANADA
This paper presents a sensing approach where phototransduction, multi-resolution feature extraction, scale-space integration and edge tracking are performed on a mixed (digital-analog) VLSI architecture in order to ge... 详细信息
来源: 评论
A Stream Algebra for computer vision Pipelines
A Stream Algebra for Computer Vision Pipelines
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Helala, Mohamed A. Pu, Ken Q. Qureshi, Faisal Z. Univ Ontario Inst Technol Fac Sci Oshawa ON Canada
Recent interest in developing online computer vision algorithms is spurred in part by a growth of applications capable of generating large volumes of images and videos. These applications are rich sources of images an... 详细信息
来源: 评论