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检索条件"任意字段=2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021"
11423 条 记 录,以下是201-210 订阅
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Hyperdimensional computing as a framework for systematic aggregation of image descriptors
Hyperdimensional computing as a framework for systematic agg...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Neubert, Peer Schubert, Stefan Tech Univ Chemnitz Chemnitz Germany
Image and video descriptors are an omnipresent tool in computer vision and its application fields like mobile robotics. Many hand-crafted and in particular learned image descriptors are numerical vectors with a potent... 详细信息
来源: 评论
Representative Forgery Mining for Fake Face Detection
Representative Forgery Mining for Fake Face Detection
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Chengrui Deng, Weihong Beijing Univ Posts & Telecommun Beijing Peoples R China
Although vanilla Convolutional Neural Network (CNN) based detectors can achieve satisfactory performance on fake face detection, we observe that the detectors tend to seek forgeries on a limited region of face, which ... 详细信息
来源: 评论
Learning to Associate Every Segment for Video Panoptic Segmentation
Learning to Associate Every Segment for Video Panoptic Segme...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Woo, Sanghyun Kim, Dahun Lee, Joon-Young Kweon, In So Korea Adv Inst Sci & Technol Daejeon South Korea Adobe Res San Jose CA USA
Temporal correspondence - linking pixels or objects across frames - is a fundamental supervisory signal for the video models. For the panoptic understanding of dynamic scenes, we further extend this concept to every s... 详细信息
来源: 评论
Few-shot Image Generation via Cross-domain Correspondence
Few-shot Image Generation via Cross-domain Correspondence
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ojha, Utkarsh Li, Yijun Lu, Jingwan Efros, Alexei A. Lee, Yong Jae Shechtman, Eli Zhang, Richard Adobe Res San Jose CA 95110 USA Univ Calif Davis Davis CA 95616 USA Univ Calif Berkeley Berkeley CA USA
Training generative models, such as GANs, on a target domain containing limited examples (e.g., 10) can easily result in overfitting. In this work, we seek to utilize a large source domain for pretraining and transfer... 详细信息
来源: 评论
Look Before you Speak: Visually Contextualized Utterances
Look Before you Speak: Visually Contextualized Utterances
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Seo, Paul Hongsuck Nagrani, Arsha Schmid, Cordelia Google Res Mountain View CA 94043 USA
While most conversational AI systems focus on textual dialogue only, conditioning utterances on visual context (when it's available) can lead to more realistic conversations. Unfortunately, a major challenge for i... 详细信息
来源: 评论
Generative Interventions for Causal Learning
Generative Interventions for Causal Learning
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Mao, Chengzhi Cha, Augustine Gupta, Amogh Wang, Hao Yang, Junfeng Vondrick, Carl Columbia Univ New York NY 10027 USA Rutgers State Univ New Brunswick NJ USA
We introduce a framework for learning robust visual representations that generalize to new viewpoints, backgrounds, and scene contexts. Discriminative models often learn naturally occurring spurious correlations, whic... 详细信息
来源: 评论
Variational Pedestrian Detection
Variational Pedestrian Detection
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Yuang He, Huanyu Li, Jianguo Li, Yuxi See, John Lin, Weiyao Shanghai Jiao Tong Univ Shanghai Peoples R China Ant Grp Hangzhou Peoples R China Heriot Watt Univ Putrajaya Malaysia
Pedestrian detection in a crowd is a challenging task due to a high number of mutually-occluding human instances, which brings ambiguity and optimization difficulties to the current IoU-based ground truth assignment p... 详细信息
来源: 评论
Conditional Bures Metric for Domain Adaptation
Conditional Bures Metric for Domain Adaptation
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Luo, You-Wei Ren, Chuan-Xian Sun Yat Sen Univ Sch Math Guangzhou Guangdong Peoples R China Pazhou Lab Guangzhou Peoples R China
As a vital problem in classification-oriented transfer, unsupervised domain adaptation (UDA) has attracted widespread attention in recent years. Previous UDA methods assume the marginal distributions of different doma... 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
Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food
Nutrition5k: Towards Automatic Nutritional Understanding of ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Thames, Quin Karpur, Arjun Norris, Wade Xia, Fangting Panait, Liviu Weyand, Tobias Sim, Jack Google Res Mountain View CA 94043 USA Percept Labs Great Falls VA USA
Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health. Studies in this area are limited t... 详细信息
来源: 评论