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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8947 条 记 录,以下是231-240 订阅
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Ice hockey player identification via transformers and weakly supervised learning
Ice hockey player identification via transformers and weakly...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vats, Kanav McNally, William Walters, Pascale Clausi, David A. Zelek, John S. Univ Waterloo Syst Design Engn Waterloo ON Canada Stathletes Inc St Catharines ON Canada
Identifying players in video is a foundational step in computer vision-based sports analytics. Obtaining player identities is essential for analyzing the game and is used in downstream tasks such as game event recogni... 详细信息
来源: 评论
Self-Supervised Learning of Pose-Informed Latents
Self-Supervised Learning of Pose-Informed Latents
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jean, Raphael St-Charles, Pierre-Luc Pirk, Soren Brodeur, Simon Menya Solut Sherbrooke PQ Canada Mila Montreal PQ Canada AMLRT Montreal PQ Canada Google Res Mountain View CA USA
Siamese network architectures trained for self-supervised instance recognition can learn powerful visual representations that are useful in various tasks. Many such approaches maximize the similarity between represent... 详细信息
来源: 评论
Improving Multi-Target Multi-Camera Tracking by Track Refinement and Completion
Improving Multi-Target Multi-Camera Tracking by Track Refine...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Specker, Andreas Florin, Lucas Cormier, Mickael Beyerer, Juergen Karlsruhe Inst Technol Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany Fraunhofer Ctr Machine Learning St Augustin Germany
Multi-camera tracking of vehicles on a city-wide level is a core component of modern traffic monitoring systems. For this task, single-camera tracking failures are the most common causes of errors concerning automatic... 详细信息
来源: 评论
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Se...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kalluri, Tarun Chandraker, Manmohan Univ Calif San Diego La Jolla CA 92093 USA
Domain adaptation for semantic segmentation across datasets consisting of the same categories has seen several recent successes. However, a more general scenario is when the source and target datasets correspond to no... 详细信息
来源: 评论
Unsupervised Change Detection Based on Image Reconstruction Loss
Unsupervised Change Detection Based on Image Reconstruction ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Noh, Hyeoncheol Ju, Jingi Seo, Minseok Park, Jongchan Choi, Dong-Geol Hanbat Natl Univ Daejeon South Korea SI Analyt Inc Mainz Germany Lunit Inc Seoul South Korea
To train a change detector, bi-temporal images taken at different times in the same area are used. However, collecting labeled bi-temporal images is expensive and time consuming. To solve this problem, various unsuper... 详细信息
来源: 评论
Lidar Positioning for Indoor Precision Navigation
Lidar Positioning for Indoor Precision Navigation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Holmberg, Max Karlsson, Oskar Tulldahl, Michael Swedish Def Res Agcy FOI Linkoping Sweden
Lidar based simultaneous localization and mapping methods can be adapted for deployment on small autonomous vehicles operating in unmapped indoor environments. For this purpose, we propose a method which combines iner... 详细信息
来源: 评论
Unstructured Object Matching using Co-Salient Region Segmentation
Unstructured Object Matching using Co-Salient Region Segment...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stoian, Ioana-Sabina Sandu, Ionut-Catalin Voinea, Daniel Popa, Alin-Ionut Amazon Bucharest Romania
Unstructured object matching is a less-explored and very challenging topic in the scientific literature. This includes matching scenarios where the context, appearance and the geometrical integrity of the objects to b... 详细信息
来源: 评论
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jie, Shibo Deng, Zhi-Hong Li, Ziheng Peking Univ Sch Artificial Intelligence Beijing Peoples R China
We study a practical setting of continual learning: fine-tuning on a pre-trained model continually. Previous work has found that, when training on new tasks, the features (penultimate layer representations) of previou... 详细信息
来源: 评论
CarlaScenes: A synthetic dataset for odometry in autonomous driving
CarlaScenes: A synthetic dataset for odometry in autonomous ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kloukiniotis, Andreas Papandreou, Andreas Anagnostopoulos, Christos Lalos, Aris Kapsalas, Petros Nguyen, D-, V Moustakas, Konstantinos Univ Patras Patras Greece ISI Ind Syst Inst Patras Patras Greece Panasonic Automot Langen Germany
Despite the great scientific effort to capture adequately the complex environments in which autonomous vehicles (AVs) operate there are still use-cases that even SoA methods fail to handle. Specifically in odometry pr... 详细信息
来源: 评论
Joint Forecasting of Panoptic Segmentations with Difference Attention
Joint Forecasting of Panoptic Segmentations with Difference ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Graber, Colin Jazra, Cyril Luo, Wenjie Gui, Liangyan Schwing, Alexander Univ Illinois Urbana IL 61801 USA Waymo Mountain View CA USA
Forecasting of a representation is important for safe and effective autonomy. For this, panoptic segmentations have been studied as a compelling representation in recent work. However, recent state-of-the-art on panop... 详细信息
来源: 评论