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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
31017 条 记 录,以下是4721-4730 订阅
DeVLBert: Out-of-distribution Visio-Linguistic Pretraining with Causality
DeVLBert: Out-of-distribution Visio-Linguistic Pretraining w...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Shengyu Jiang, Tan Wang, Tan Kuang, Kun Zhao, Zhou Zhu, Jianke Yu, Jin Yang, Hongxia Wu, Fei Zhejiang Univ Hangzhou Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China Alibaba Grp Hangzhou Peoples R China
In this paper, we propose to investigate out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on which the pretrained model will be fine-tuned. Exist... 详细信息
来源: 评论
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
A Bop and Beyond: A Second Order Optimizer for Binarized Neu...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Daniel Suarez-Ramirez, Cuauhtemoc Gonzalez-Mendoza, Miguel Chang, Leonardo Ochoa-Ruiz, Gilberto Alberto Duran-Vega, Mario Tecnol Monterrey Sch Engn & Sci Dept Comp Sci Monterrey NL Mexico
The optimization of Binary Neural Networks (BNNs) relies on approximating the real-valued weights with their binarized representations. Current techniques for weight-updating use the same approaches as traditional Neu... 详细信息
来源: 评论
Rethinking and Improving the Robustness of Image Style Transfer
Rethinking and Improving the Robustness of Image Style Trans...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Pei Li, Yijun Vasconcelos, Nuno UC La Jolla CA 92093 USA Adobe Res Los Altos CA USA
Extensive research in neural style transfer methods has shown that the correlation between features extracted by a pre-trained VGG network has a remarkable ability to capture the visual style of an image. Surprisingly... 详细信息
来源: 评论
Learning Feature Aggregation for Deep 3D Morphable Models
Learning Feature Aggregation for Deep 3D Morphable Models
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Zhixiang Kim, Tae-Kyun Imperial Coll London London England Korea Adv Inst Sci & Technol Seoul South Korea
3D morphable models are widely used for the shape representation of an object class in computer vision and graphics applications. In this work, we focus on deep 3D morphable models that directly apply deep learning on... 详细信息
来源: 评论
What is Point Supervision Worth in Video Instance Segmentation?
What is Point Supervision Worth in Video Instance Segmentati...
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Shuaiyi Huang De-An Huang Zhiding Yu Shiyi Lan Subhashree Radhakrishnan Jose M. Alvarez Abhinav Shrivastava Anima Anandkumar University of Maryland College Park NVIDIA Caltech
Video instance segmentation (VIS) is a challenging vision task that aims to detect, segment, and track objects in videos. Conventional VIS methods rely on densely-annotated object masks which are expensive. We reduce ... 详细信息
来源: 评论
An Enhanced Face Spoof Detection using ResNet50 Based Cosine Learning Rate
An Enhanced Face Spoof Detection using ResNet50 Based Cosine...
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2024 International conference on Distributed Systems, computer Networks and Cybersecurity, ICDSCNC 2024
作者: Hussein, Layth Sharanya, D. Kumar, Gotte Ranjith Prashanth, V. Ramya, R. The Islamic University Department of Computers Techniques Engineering College of Technical Engineering Najaf Iraq Department of Cse Hyderabad India Sr University Department of Computer Science & Artificial Intelligence Warangal India Nitte Meenakshi Institute of Technology Department of Electrical & Electronics Engineering Bengaluru India Bannari Amman Institute of Technology Department of Computer Science and Engineering Sathyamangalam India
In recent times, face biometric systems have recognized widely and got attention in computer vision. Further, the biometric face recognition systems are susceptible for face spoofing attacks, where an attacker uses a ... 详细信息
来源: 评论
Bi-Causal: Group Activity recognition via Bidirectional Causality
Bi-Causal: Group Activity Recognition via Bidirectional Caus...
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conference on computer vision and pattern recognition (CVPR)
作者: Youliang Zhang Wenxuan Liu Danni Xu Zhuo Zhou Zheng Wang National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University of Technology National University of Singapore
Current approaches in Group Activity recognition (GAR) predominantly emphasize Human Relations (HRs) while often neglecting the impact of Human-Object Inter-actions (HOIs). This study prioritizes the consideration of ... 详细信息
来源: 评论
Taskology: Utilizing Task Relations at Scale
Taskology: Utilizing Task Relations at Scale
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lu, Yao Pirk, Soren Dlabal, Jan Brohan, Anthony Pasad, Ankita Chen, Zhao Casser, Vincent Angelova, Anelia Gordon, Ariel Google Robot Mountain View CA 94043 USA Google Res Mountain View CA 94043 USA Toyota Technol Inst Chicago Chicago IL 60637 USA Waymo LLC Mountain View CA USA
Many computer vision tasks address the problem of scene understanding and are naturally interrelated e.g. object classification, detection, scene segmentation, depth estimation, etc. We show that we can leverage the i... 详细信息
来源: 评论
Pulsar: Efficient Sphere-based Neural Rendering
Pulsar: Efficient Sphere-based Neural Rendering
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lassner, Christoph Zollhofer, Michael Facebook Real Labs Redmond WA 98052 USA
We propose Pulsar, an efficient sphere-based differentiable rendering module that is orders of magnitude faster than competing techniques, modular, and easy-to-use due to its tight integration with PyTorch. Differenti... 详细信息
来源: 评论
Reconstructing 3D Human Pose by Watching Humans in the Mirror
Reconstructing 3D Human Pose by Watching Humans in the Mirro...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fang, Qi Shuai, Qing Dong, Junting Bao, Hujun Zhou, Xiaowei Zhejiang Univ State Key Lab CAD&CG Hangzhou Zhejiang Peoples R China
In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which we can see the person and the person's image through a mirror. Compared to general scenarios of 3D pose estimat... 详细信息
来源: 评论