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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是4671-4680 订阅
排序:
BGDNet: Background-guided Indoor Panorama Depth Estimation
BGDNet: Background-guided Indoor Panorama Depth Estimation
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Jiajing Chen Zhiqiang Wan Manjunath Narayana Yuguang Li Will Hutchcroft Senem Velipasalar Sing Bing Kang Syracuse University Zillow Group
Depth estimation from single perspective image has received significant attention in the past decade, whereas the same task applied to single panoramic image remains comparatively under-explored. Most existing depth e... 详细信息
来源: 评论
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
Bayesian Nested Neural Networks for Uncertainty Calibration ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cui, Yufei Liu, Ziquan Li, Qiao Chan, Antoni B. Xue, Chun Jason City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China
Nested networks or slimmable networks are neural networks whose architectures can be adjusted instantly during testing time, e.g., based on computational constraints. Recent studies have focused on a "nested drop... 详细信息
来源: 评论
Low Latency Point Cloud Rendering with Learned Splatting
Low Latency Point Cloud Rendering with Learned Splatting
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Yueyu Hu Ran Gong Qi Sun Yao Wang Tandon School of Engineering New York University Tsinghua University
Point cloud is a critical 3D representation with many emerging applications. Because of the point sparsity and irregularity, high-quality rendering of point clouds is challenging and often requires complex computation... 详细信息
来源: 评论
StablePose: Learning 6D Object Poses from Geometrically Stable Patches
StablePose: Learning 6D Object Poses from Geometrically Stab...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shi, Yifei Huang, Junwen Xu, Xin Zhang, Yifan Xu, Kai Natl Univ Def Technol Changsha Peoples R China
We introduce the concept of geometric stability to the problem of 6D object pose estimation and propose to learn pose inference based on geometrically stable patches extracted from observed 3D point clouds. According ... 详细信息
来源: 评论
Meta-Mining Discriminative Samples for Kinship Verification
Meta-Mining Discriminative Samples for Kinship Verification
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Wanhua Wang, Shiwei Lu, Jiwen Feng, Jianjiang Zhou, Jie Tsinghua Univ Dept Automat Beijing Peoples R China Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China Beijing Univ Posts & Telecommun Sch Modern Post Beijing Peoples R China
Kinship verification aims to find out whether there is a kin relation for a given pair of facial images. Kinship verification databases are born with unbalanced data. For a database with N positive kinship pairs, we n... 详细信息
来源: 评论
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
CoLA: Weakly-Supervised Temporal Action Localization with Sn...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Can Cao, Meng Yang, Dongming Chen, Jie Zou, Yuexian Peking Univ Sch Elect & Comp Engn Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Weakly-supervised temporal action localization (WS-TAL) aims to localize actions in untrimmed videos with only video-level labels. Most existing models follow the "localization by classification" procedure: ... 详细信息
来源: 评论
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
XProtoNet: Diagnosis in Chest Radiography with Global and Lo...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Eunji Kim, Siwon Seo, Minji Yoon, Sungroh Seoul Natl Univ Dept Elect & Comp Engn Seoul South Korea Seoul Natl Univ ASRI INMC ISRC Seoul South Korea Seoul Natl Univ Inst Engn Res Seoul South Korea
Automated diagnosis using deep neural networks in chest radiography can help radiologists detect life-threatening diseases. However, existing methods only provide predictions without accurate explanations, undermining... 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
Group Collaborative Learning for Co-Salient Object Detection
Group Collaborative Learning for Co-Salient Object Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fan, Qi Fan, Deng-Ping Fu, Huazhu Tang, Chi-Keung Shao, Ling Tai, Yu-Wing HKUST Hong Kong Peoples R China Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates Kuaishou Technol Beijing Peoples R China
We present a novel group collaborative learning framework (GCoNet) capable of detecting co-salient objects in real time (16ms), by simultaneously mining consensus representations at group level based on the two necess... 详细信息
来源: 评论
StegaNeRV: Video Steganography using Implicit Neural Representation
StegaNeRV: Video Steganography using Implicit Neural Represe...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Monsij Biswal Tong Shao Kenneth Rose Peng Yin Sean McCarthy Department of Electrical and Computer Engineering University of California Santa Barbara Santa Barbara CA USA Dolby Laboratories Inc Sunnyvale CA USA
Numerous studies have recently advanced the state-of-the art for representing videos through an implicit neural network (INR). As these models become increasingly ubiquitous, there is a growing demand for concealing d... 详细信息
来源: 评论