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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024"
4655 条 记 录,以下是291-300 订阅
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Domain Adaptable Normalization for Semi-Supervised Action recognition in the Dark
Domain Adaptable Normalization for Semi-Supervised Action Re...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liang, Zixi Chen, Jiajun Chen, Rui Zheng, Bingbing Zhou, Mingyue Gao, Huaien Lin, Shan Guangzhou Xi Ma Informat Technol Co Guangzhou Peoples R China
Action recognition in the dark is gaining more and more attention with the rapid development of intelligent recognition applications in real-world applications, e.g. self-driving at night and night surveillance. Howev... 详细信息
来源: 评论
Dual-Branch Collaborative Transformer for Virtual Try-On
Dual-Branch Collaborative Transformer for Virtual Try-On
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fenocchi, Emanuele Morelli, Davide Cornia, Marcella Baraldi, Lorenzo Cesari, Fabio Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy YOOX NET PORTER GRP Milan Italy
Image-based virtual try-on has recently gained a lot of attention in both the scientific and fashion industry communities due to its challenging setting and practical real-world applications. While pure convolutional ... 详细信息
来源: 评论
Anticipation of Human Actions with Pose-based Fine-grained Representations  32
Anticipation of Human Actions with Pose-based Fine-grained R...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Agethen, Sebastian Lee, Hu-Cheng Hsu, Winston H. Natl Taiwan Univ Taipei Taiwan
Anticipating an action that is about to happen allows us to be more efficient in interacting with our environment. However, prediction is a challenging task in computer vision, because videos are only partially availa... 详细信息
来源: 评论
Learning Unbiased Representations via Mutual Information Backpropagation
Learning Unbiased Representations via Mutual Information Bac...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ragonesi, Ruggero Volpi, Riccardo Cavazza, Jacopo Murino, Vittorio Ist Italiano Tecnol PAVIS Dept Genoa Italy Univ Genoa DITEN Dept Genoa Italy Naver Labs Europe Grenoble France Univ Verona Dept Comp Sci Verona Italy Huawei Technol Ltd Ireland Res Ctr Dublin Ireland
We are interested in learning data-driven representations that can generalize well, even when trained on inherently biased data. In particular, we face the case where some attributes (bias) of the data, if learned by ... 详细信息
来源: 评论
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cazenavette, George Wang, Tongzhou Torralba, Antonio Efros, Alexei A. Zhu, Jun-Yan Carnegie Mellon Univ Pittsburgh PA 15213 USA MIT Cambridge MA 02139 USA Univ Calif Berkeley Berkeley CA USA
Dataset distillation is the task of synthesizing a small dataset such that a model trained on the synthetic set will match the test accuracy of the model trained on the full dataset. In this paper, we propose a new fo... 详细信息
来源: 评论
Multi-Class Cell Detection Using Modified Self-Attention
Multi-Class Cell Detection Using Modified Self-Attention
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sugimoto, Tatsuhiko Ito, Hiroaki Teramoto, Yuki Yoshizawa, Akihiko Bise, Ryoma Kyushu Univ Fukuoka Japan Kyoto Univ Hosp Kyoto Japan
Multi-class cell detection (cancer or non-cancer) from a whole slide image (WSI) is an important task for pathological diagnosis. Cancer and non-cancer cells often have a similar appearance, so it is difficult even fo... 详细信息
来源: 评论
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
RAPiD: Rotation-Aware People Detection in Overhead Fisheye I...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Duan, Zhihao Tezcan, M. Ozan Nakamura, Hayato Ishwar, Prakash Konrad, Janusz Boston Univ Boston MA 02215 USA
Recent methods for people detection in overhead, fisheye images either use radially-aligned bounding boxes to represent people, assuming people always appear along image radius or require significant pre-/post-process... 详细信息
来源: 评论
Multi-task Learning with Attention for End-to-end Autonomous Driving
Multi-task Learning with Attention for End-to-end Autonomous...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ishihara, Keishi Kanervisto, Anssi Miura, Jun Hautamaki, Ville Toyohashi Univ Technol Toyohashi Aichi Japan Univ Eastern Finland Kuopio Finland
Autonomous driving systems need to handle complex scenarios such as lane following, avoiding collisions, taking turns, and responding to traffic signals. In recent years, approaches based on end-to-end behavioral clon... 详细信息
来源: 评论
Enriched Robust Multi-View Kernel Subspace Clustering
Enriched Robust Multi-View Kernel Subspace Clustering
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Mengyuan Liu, Kai Clemson Univ Clemson SC 29631 USA
Subspace clustering is to find underlying low-dimensional subspaces and cluster the data points correctly. In this paper, we propose a novel multi-view subspace clustering method. Most existing methods suffer from two... 详细信息
来源: 评论
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
Deep Spherical Manifold Gaussian Kernel for Unsupervised Dom...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Youshan Davison, Brian D. Lehigh Univ Comp Sci & Engn Bethlehem PA 18015 USA
Unsupervised Domain adaptation is an effective method in addressing the domain shift issue when transferring knowledge from an existing richly labeled domain to a new domain. Existing manifold-based methods either are... 详细信息
来源: 评论