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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是4891-4900 订阅
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Learning Compositional Representation for 4D Captures with Neural ODE
Learning Compositional Representation for 4D Captures with N...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Boyan Zhang, Yinda Wei, Xingkui Xue, Xiangyang Fu, Yanwei Fudan Univ Sch Comp Sci Shanghai Peoples R China Fudan Univ Shanghai Peoples R China Google Mountain View CA 94043 USA Fudan Univ Sch Data Sci MOE Frontiers Ctr Brain Sci Shanghai Peoples R China Fudan Univ Shanghai Key Lab Intelligent Informat Proc Shanghai Peoples R China
Learning based representation has become the key to the success of many computer vision systems. While many 3D representations have been proposed, it is still an unaddressed problem how to represent a dynamically chan... 详细信息
来源: 评论
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Jiachen Cheng, Bowen Feris, Rogerio Xiong, Jinjun Huang, Thomas S. Hwu, Wen-Mei Shi, Humphrey UIUC Champaign IL 61820 USA MIT IBM Watson AI Lab Cambridge MA USA IBM TJ Watson Res Ctr Ossining NY USA NVIDIA Santa Clara CA USA Univ Oregon Eugene OR 97403 USA Picsart AI Res PAIR Champaign IL USA
Current anchor-free object detectors are quite simple and effective yet lack accurate label assignment methods, which limits their potential in competing with classic anchor-based models that are supported by well-des... 详细信息
来源: 评论
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
Memory Oriented Transfer Learning for Semi-Supervised Image ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Huaibo Yu, Aijing He, Ran Univ Chinese Acad Sci Ctr Excellence Brain Sci & Intelligence Technol Ctr Res Intelligent Percept & Comp Natl Lab Pattern RecognitCASIACAS Beijing Peoples R China
Deep learning based methods have shown dramatic improvements in image rain removal by using large-scale paired data of synthetic datasets. However, due to the various appearances of real rain streaks that may differ f... 详细信息
来源: 评论
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
One-Shot Neural Ensemble Architecture Search by Diversity-Gu...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Minghao Fu, Jianlong Ling, Haibin SUNY Stony Brook Stony Brook NY 11794 USA Microsoft Res Asia Beijing Peoples R China Microsoft Beijing Peoples R China
Despite remarkable progress achieved, most neural architecture search (NAS) methods focus on searching for one single accurate and robust architecture. To further build models with better generalization capability and... 详细信息
来源: 评论
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment
(ASNA) An Attention-based Siamese-Difference Neural Network ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ayyoubzadeh, Seyed Mehdi Royat, Ali McMaster Univ Hamilton ON Canada Sharif Univ Technol Tehran Iran
Recently, deep convolutional neural networks (DCNN) that leverage the adversarial training framework for image restoration and enhancement have significantly improved the processed images' sharpness. Surprisingly,... 详细信息
来源: 评论
Training Generative Adversarial Networks in One Stage
Training Generative Adversarial Networks in One Stage
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Chengchao Yin, Youtan Wang, Xinchao Li, Xubin Song, Jie Song, Mingli Zhejiang Univ Hangzhou Peoples R China Natl Univ Singapore Singapore Singapore Alibaba Grp Hangzhou Peoples R China Zhejiang Lab Hangzhou Peoples R China Stevens Inst Technol Hoboken NJ 07030 USA
Generative Adversarial Networks (GANs) have demonstrated unprecedented success in various image generation tasks. The encouraging results, however, come at the price of a cumbersome training process, during which the ... 详细信息
来源: 评论
Uncertainty-Aware Camera Pose Estimation from Points and Lines
Uncertainty-Aware Camera Pose Estimation from Points and Lin...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Vakhitov, Alexander Ferraz Colomina, Luis Agudo, Antonio Moreno-Noguer, Francesc SLAMCore Ltd London England Kognia Sports Intelligence Barcelona Spain CSIC UPC Inst Robot & Informat Ind Barcelona Spain
Perspective-n-Point-and-Line (PnPL) algorithms aim at fast, accurate, and robust camera localization with respect to a 3D model from 2D-3D feature correspondences, being a major part of modern robotic and AR/VR system... 详细信息
来源: 评论
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
CFNet: Cascade and Fused Cost Volume for Robust Stereo Match...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Zhelun Dai, Yuchao Rao, Zhibo Northwestern Polytech Univ Xian Peoples R China Peking Univ Beijing Peoples R China
Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound progress in stereo matching. However, most of these successes are limited to a specific dataset and cannot generalize well t... 详细信息
来源: 评论
Curriculum Learning for Data-Efficient vision-Language Alignment
Curriculum Learning for Data-Efficient Vision-Language Align...
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ieee computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Tejas Srinivasan Xiang Ren Jesse Thomason University of Southern California
Aligning image and text encoders from scratch using contrastive learning requires large amounts of paired image-text data. We alleviate this need by aligning individually pre-trained language and vision representation...
来源: 评论
Region-Adaptive Deformable Network for Image Quality Assessment
Region-Adaptive Deformable Network for Image Quality Assessm...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shi, Shuwei Bai, Qingyan Cao, Mingdeng Xia, Weihao Wang, Jiahao Chen, Yifan Yang, Yujiu Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China
Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In image restoration and enhancement ta... 详细信息
来源: 评论