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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8966 条 记 录,以下是1031-1040 订阅
EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks
EVA-GCN: Head Pose Estimation Based on Graph Convolutional N...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xin, Miao Mo, Shentong Lin, Yuanze Chinese Acad Sci Inst Automat CASIA Beijing Peoples R China Carnegie Mellon Univ Pittsburgh PA 15213 USA Beihang Univ Beijing Peoples R China
Head pose estimation is an important task in many real-world applications. Since the facial landmarks usually serve as the common input that is shared by multiple downstream tasks, utilizing landmarks to acquire high-... 详细信息
来源: 评论
Image Compression with Recurrent Neural Network and Generalized Divisive Normalization
Image Compression with Recurrent Neural Network and Generali...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Islam, Khawar Dang, L. Minh Lee, Sujin Moon, Hyeonjoon Sejong Univ Comp Vis & Pattern Recognit Lab Seoul South Korea Sejong Univ Dept Artificial Intelligence Seoul South Korea
Image compression is a method to remove spatial redundancy between adjacent pixels and reconstruct a high-quality image. In the past few years, deep learning has gained huge attention from the research community and p... 详细信息
来源: 评论
Transformer-based Text Detection in the Wild
Transformer-based Text Detection in the Wild
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Raisi, Zobeir Naiel, Mohamed A. Younes, Georges Wardell, Steven Zelek, John S. Univ Waterloo Waterloo ON N2L 3G1 Canada ATS Automat Tooling Syst Inc Cambridge ON N3H 4R7 Canada
A major limitation to most state-of-the-art visual localization methods is their ineptitude to make use of ubiquitous signs and directions that are typically intuitive to humans. Localization methods can greatly benef... 详细信息
来源: 评论
Progressive Knowledge-Embedded Unified Perceptual Parsing for Scene Understanding
Progressive Knowledge-Embedded Unified Perceptual Parsing fo...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zheng, Wenbo Yan, Lan Wang, Fei-Yue Gou, Chao Xi An Jiao Tong Univ Sch Software Engn Xian Peoples R China Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China
Human can naturally understand scenes in depth with the help of various knowledge accumulated and by a comprehensive visual concept organization including category labels and different-level attributes. This inspires ... 详细信息
来源: 评论
The Myth of the Pyramid
The Myth of the Pyramid
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Ramon Izquierdo-Cordova Walterio Mayol-Cuevas Department of Computer Science University of Bristol United Kingdom
A deep-rooted strategy for building convolutional neural networks in computer vision is to increase the number of filters every time the feature map resolution is decreased. The notion ruling this pyramidal design is ... 详细信息
来源: 评论
IntegralAction: Pose-driven Feature Integration for Robust Human Action recognition in Videos
IntegralAction: Pose-driven Feature Integration for Robust H...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Moon, Gyeongsik Kwon, Heeseung Lee, Kyoung Mu Cho, Minsu SNU ECE & ASRI Seoul South Korea ASRI Seoul South Korea POSTECH CSE Pohang South Korea AIGS Seoul South Korea
Most current action recognition methods heavily rely on appearance information by taking an RGB sequence of entire image regions as input. While being effective in exploiting contextual information around humans, e.g.... 详细信息
来源: 评论
Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis
Lacunarity Pooling Layers for Plant Image Classification usi...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Akshatha Mohan Joshua Peeples Department of Electrical and Computer Engineering Texas A&M University College Station TX USA
Pooling layers (e.g., max and average) may overlook important information encoded in the spatial arrangement of pixel intensity and/or feature values. We propose a novel lacunarity pooling layer that aims to capture t... 详细信息
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Generative Dataset Distillation: Balancing Global Structure and Local Details
Generative Dataset Distillation: Balancing Global Structure ...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Longzhen Li Guang Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama Hokkaido University
In this paper, we propose a new dataset distillation method that considers balancing global structure and local details when distilling the information from a large dataset into a generative model. Dataset distillatio... 详细信息
来源: 评论
LOFI: LOng-tailed FIne-Grained Network for Food recognition
LOFI: LOng-tailed FIne-Grained Network for Food Recognition
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Jesús M. Rodríguez-de-Vera Imanol G. Estepa Marc Bolaños Bhalaji Nagarajan Petia Radeva Universitat de Barcelona Barcelona Spain AIGecko Technologies SL Barcelona Spain
Food recognition plays a crucial role in several healthcare applications. Nevertheless, it presents significant computer vision challenges such as long-tailed and fine-grained distributions that hinder its progress. I... 详细信息
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Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms
Using Language-Aligned Gesture Embeddings for Understanding ...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Tristan Maidment Purav J Patel Erin Walker Adriana Kovashka Intelligent Systems Program University of Pittsburgh Pittsburgh PA USA University of Maryland College Park MD USA Computer Science University of Pittsburgh Pittsburgh PA USA Learning Research and Development Center University of Pittsburgh Pittsburgh PA USA
In this paper, we introduce an approach for recognizing and classifying gestures that accompany mathematical terms, in a new collection we name the "GAMT" dataset. Our method uses language as a means of prov... 详细信息
来源: 评论