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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5506 条 记 录,以下是4701-4710 订阅
排序:
Meta-Evaluation of Image Segmentation Using Machine Learning
Meta-Evaluation of Image Segmentation Using Machine Learning
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conference on computer vision and pattern recognition (CVPR)
作者: Hui Zhang S. Cholleti S.A. Goldman J.E. Fritts Department of Computer Science and Engineering Washington University Saint Louis MO USA Department of Mathematics and Computer Science Saint Louis University Saint Louis MO USA
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is selected at the application level and fixe... 详细信息
来源: 评论
Fake News Detection using Higher-order User to User Mutual-attention Progression in Propagation Paths
Fake News Detection using Higher-order User to User Mutual-a...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Rahul Mishra University of Stavanger Norway
Social media has become a very prominent source of news consumption. It brings forth multifaceted, multimodal and real-time information on a silver platter for the users. Fake news or rumor mongering on social media i... 详细信息
来源: 评论
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
Reactive Model Correction: Mitigating Harm to Task-Relevant ...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Dilyara Bareeva Maximilian Dreyer Frederik Pahde Wojciech Samek Sebastian Lapuschkin Fraunhofer Heinrich Hertz Institute Technical University of Berlin BIFOLD – Berlin Institute for the Foundations of Learning and Data
Deep Neural Networks are prone to learning and relying on spurious correlations in the training data, which, for high-risk applications, can have fatal consequences. Various approaches to suppress model reliance on ha... 详细信息
来源: 评论
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
Training Transformer Models by Wavelet Losses Improves Quant...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Cansu Korkmaz A. Murat Tekalp College of Engineering and KUIS AI Center Koc University
Transformer-based models have achieved remarkable results in low-level vision tasks including image super-resolution (SR). However, early Transformer-based approaches that rely on self-attention within non-overlapping... 详细信息
来源: 评论
Must Unsupervised Continual Learning Relies on Previous Information?
Must Unsupervised Continual Learning Relies on Previous Info...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Haoyang Cheng Haitao Wen Heqian Qiu Lanxiao Wang Minjian Zhang Hongliang Li University of Electronic Science and Technology of China Chengdu China
Open-world recognition has recently gained significant attention owing to its ability to bridge the gap between experimental scenarios and real-world applications. Since continual learning can learn from a sequence of... 详细信息
来源: 评论
MonoSelfRecon: Purely Self-Supervised Explicit Generalizable 3D Reconstruction of Indoor Scenes from Monocular RGB Views
MonoSelfRecon: Purely Self-Supervised Explicit Generalizable...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Runfa Li Upal Mahbub Vasudev Bhaskaran Truong Nguyen UC San Diego Qualcomm
Current monocular 3D scene reconstruction (3DR) works are either fully-supervised, or not generalizable, or implicit in 3D representation. We propose a novel framework - MonoSelfRecon that for the first time achieves ... 详细信息
来源: 评论
Analyzing the Internals of Neural Radiance Fields
Analyzing the Internals of Neural Radiance Fields
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Lukas Radl Andreas Kurz Michael Steiner Markus Steinberger Graz University of Technology Austria
Modern Neural Radiance Fields (NeRFs) learn a mapping from position to volumetric density leveraging proposal network samplers. In contrast to the coarse-to-fine sampling approach with two NeRFs, this offers significa... 详细信息
来源: 评论
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
SemiGPC: Distribution-Aware Label Refinement for Imbalanced ...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Abdelhak Lemkhenter Manchen Wang Luca Zancato Gurumurthy Swaminathan Paolo Favaro Davide Modolo AWS AI Labs
In this paper we introduce SemiGPC, a distribution-aware label refinement strategy based on Gaussian Processes where the predictions of the model are derived from the labels posterior distribution. Differently from ot... 详细信息
来源: 评论
DaFF: Dual Attentive Feature Fusion for Multispectral Pedestrian Detection
DaFF: Dual Attentive Feature Fusion for Multispectral Pedest...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Afnan Althoupety Li-Yun Wang Wu-Chi Feng Banafsheh Rekabdar Portland State University USA
Inspired by how humans perceive and interpret the world using multiple senses, multi-modal learning involves integrating information from multiple modalities to improve understanding and performance in various tasks. ... 详细信息
来源: 评论
Slimmable Video Codec
Slimmable Video Codec
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Zhaocheng Liu Luis Herranz Fei Yang Saiping Zhang Shuai Wan Marta Mrak Marc Gó rriz Blanch School of Electronics and Information Northwestern Polytechnical University Xi&#x2019 an China Computer Vision Center Universitat Autonoma de Barcelona Barcelona Spain State Key Laboratory of Integrated Services Networks Xidian University Xi&#x2019 The Lighthouse White City Place 201 Wood Lane BBC Research &#x0026 Development London UK
Neural video compression has emerged as a novel paradigm combining trainable multilayer neural net-works and machine learning, achieving competitive rate-distortion (RD) performances, but still remaining impractical d... 详细信息
来源: 评论