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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是4651-4660 订阅
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Masked Jigsaw Puzzle: A Versatile Position Embedding for vision Transformers
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vis...
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conference on computer vision and pattern recognition (cvpr)
作者: Bin Ren Yahui Liu Yue Song Wei Bi Rita Cucchiara Nicu Sebe Wei Wang University of Pisa Italy University of Trento Italy Tencent AI Lab China University of Modena and Reggio Emilia Italy Beijing Jiaotong University China
Position Embeddings (PEs), an arguably indispensable component in vision Transformers (ViTs), have been shown to improve the performance of ViTs on many vision tasks. However, PEs have a potentially high risk of priva...
来源: 评论
Multi-Class Multi-Movement Vehicle Counting Based on CenterTrack
Multi-Class Multi-Movement Vehicle Counting Based on CenterT...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Kocur, Viktor Ftacnik, Milan Comenius Univ Fac Math Phys & Informat Bratislava Slovakia
In this paper we present our approach to the Track 1 of the 2021 AI City Challenge. The goal of the challenge track is to to analyse footage captured with traffic cameras by counting the number of vehicles performing ... 详细信息
来源: 评论
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
Joint Video Multi-Frame Interpolation and Deblurring under U...
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conference on computer vision and pattern recognition (cvpr)
作者: Wei Shang Dongwei Ren Yi Yang Hongzhi Zhang Kede Ma Wangmeng Zuo School of Computer Science and Technology Harbin Institute of Technology City University of Hong Kong Peng Cheng Laboratory Shenzhen
Natural videos captured by consumer cameras often suffer from low framerate and motion blur due to the combination of dynamic scene complexity, lens and sensor imperfection, and less than ideal exposure setting. As a ...
来源: 评论
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
Bootstrap Your Own Prior: Towards Distribution-Agnostic Nove...
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conference on computer vision and pattern recognition (cvpr)
作者: Muli Yang Liancheng Wang Cheng Deng Hanwang Zhang School of Electronic Engineering Xidian University Xi'an China School of Computer Science and Engineering Nanyang Technological University Singapore
Novel Class Discovery (NCD) aims to discover unknown classes without any annotation, by exploiting the transferable knowledge already learned from a base set of known classes. Existing works hold an impractical assump...
来源: 评论
Probability-based Global Cross-modal Upsampling for Pansharpening
Probability-based Global Cross-modal Upsampling for Pansharp...
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conference on computer vision and pattern recognition (cvpr)
作者: Zeyu Zhu Xiangyong Cao Man Zhou Junhao Huang Deyu Meng Xi'an Jiaotong University School of Computer Science and Technology Xi'an Jiaotong University Ministry of Education Key Lab For Intelligent Networks and Network Security Xi'an Jiaotong University Nanyang Technological University Macau University of Science and Technology
Pansharpening is an essential preprocessing step for remote sensing image processing. Although deep learning (DL) approaches performed well on this task, current upsampling methods used in these approaches only utiliz...
来源: 评论
Activate or Not: Learning Customized Activation
Activate or Not: Learning Customized Activation
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ma, Ningning Zhang, Xiangyu Liu, Ming Sun, Jian Hong Kong Univ Sci & Technol Hong Kong Peoples R China MEGVII Technol Beijing Peoples R China
We present a simple, effective, and general activation function we term ACON which learns to activate the neurons or not. Interestingly, we find Swish, the recent popular NAS-searched activation, can be interpreted as... 详细信息
来源: 评论
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations
Three Birds with One Stone: Multi-Task Temporal Action Detec...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Zhihui Yao, Lina Univ New South Wales Sch Comp Sci & Engn Kensington NSW Australia
Temporal action detection on unconstrained videos has seen significant research progress in recent years. Deep learning has achieved enormous success in this direction. However, collecting large-scale temporal detecti... 详细信息
来源: 评论
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo vision
StereoPIFu: Depth Aware Clothed Human Digitization via Stere...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hong, Yang Zhang, Juyong Jiang, Boyi Guo, Yudong Liu, Ligang Bao, Hujun Univ Sci & Technol China Hefei Anhui Peoples R China Zhejiang Univ Hangzhou Zhejiang Peoples R China
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rec... 详细信息
来源: 评论
Gradient-based Algorithms for Machine Teaching
Gradient-based Algorithms for Machine Teaching
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Pei Nagrecha, Kabir Vasconcelos, Nuno Univ Calif San Diego San Diego CA 92093 USA
The problem of machine teaching is considered. A new formulation is proposed under the assumption of an optimal student, where optimality is defined in the usual machine learning sense of empirical risk minimization. ... 详细信息
来源: 评论
ContactOpt: Optimizing Contact to Improve Grasps
ContactOpt: Optimizing Contact to Improve Grasps
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Grady, Patrick Tang, Chengcheng Twigg, Christopher D. Minh Vo Brahmbhatt, Samarth Kemp, Charles C. Georgia Inst Technol Atlanta GA 30332 USA Facebook Real Labs Res Redmond WA USA Intel Labs Hillsboro OR USA
Physical contact between hands and objects plays a critical role in human grasps. We show that optimizing the pose of a hand to achieve expected contact with an object can improve hand poses inferred via image-based m... 详细信息
来源: 评论