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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
30988 条 记 录,以下是4701-4710 订阅
排序:
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Ima...
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conference on computer vision and pattern recognition (CVPR)
作者: Gihyun Kwon Simon Jenni Dingzeyu Li Joon-Young Lee Jong Chul Ye Fabian Caba Heilbron KAIST Adobe
While there has been significant progress in customizing text-to-image generation models, generating images that combine multiple personalized concepts remains challenging. In this work, we introduce Concept Weaver, a... 详细信息
来源: 评论
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
Siamese Natural Language Tracker: Tracking by Natural Langua...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Feng, Qi Ablavsky, Vitaly Bai, Qinxun Sclaroff, Stan Boston Univ Boston MA 02215 USA Univ Washington Seattle WA 98195 USA Horizon Robot Beijing Peoples R China
We propose a novel Siamese Natural Language Tracker (SNLT), which brings the advancements in visual tracking to the tracking by natural language (NL) descriptions task. The proposed SNLT is applicable to a wide range ... 详细信息
来源: 评论
Adversarial Score Distillation: When Score Distillation Meets GAN
Adversarial Score Distillation: When Score Distillation Meet...
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conference on computer vision and pattern recognition (CVPR)
作者: Min Wei Jingkai Zhou Junyao Sun Xuesong Zhang Beijing University of Posts and Telecommunications South China University of Technology
Existing score distillation methods are sensitive to classifier-free guidance (CFG) scale, manifested as over-smoothness or instability at small CFG scales, while over-saturation at large ones. To explain and analyze ... 详细信息
来源: 评论
On Training Sketch Recognizers for New Domains
On Training Sketch Recognizers for New Domains
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yesilbek, Kemal Tugrul Sezgin, T. Metin Beat Res BV Amsterdam Netherlands Koc Univ Istanbul Turkey
Sketch recognition algorithms are engineered and evaluated using publicly available datasets contributed by the sketch recognition community over the years. While existing datasets contain sketches of a limited set of... 详细信息
来源: 评论
Fine-Grained Visual Attribute Extraction from Fashion Wear
Fine-Grained Visual Attribute Extraction from Fashion Wear
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Parekh, Viral Shaik, Karimulla Biswas, Soma Chelliah, Muthusamy Flipkart Internet Private Ltd Bangalore Karnataka India Indian Inst Sci Bangalore Karnataka India
Automatically extracting visual attributes for e-commerce data has widespread applications in cataloging, catalogue qualification and enrichment, visual search, etc. Here, we address the task of visual attribute extra... 详细信息
来源: 评论
Person Re-identification using Heterogeneous Local Graph Attention Networks
Person Re-identification using Heterogeneous Local Graph Att...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Zhong Zhang, Haijia Liu, Shuang Tianjin Normal Univ Tianjin Key Lab Wireless Mobile Commun & Power Tr Tianjin Peoples R China
Recently, some methods have focused on learning local relation among parts of pedestrian images for person reidentification (Re-ID), as it offers powerful representation capabilities. However, they only provide the in... 详细信息
来源: 评论
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
SurroundSDF: Implicit 3D Scene Understanding Based on Signed...
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conference on computer vision and pattern recognition (CVPR)
作者: Lizhe Liu Bohua Wang Hongwei Xie Daqi Liu Li Liu Zhiqiang Tian Kuiyuan Yang Bing Wang Xiaomi EV School of Software Engineering Xi'an Jiaotong University
vision-centric 3D environment understanding is both vi-tal and challenging for autonomous driving systems. Re-cently, object-free methods have attracted considerable at-tention. Such methods perceive the world by pred... 详细信息
来源: 评论
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
AttentiveNAS: Improving Neural Architecture Search via Atten...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Dilin Li, Meng Gong, Chengyue Chandra, Vikas Facebook Menlo Pk CA 94025 USA Univ Texas Austin Austin TX 78712 USA
Neural architecture search (NAS) has shown great promise in designing state-of-the-art (SOTA) models that are both accurate and efficient. Recently, two-stage NAS, e.g. BigNAS, decouples the model training and searchi... 详细信息
来源: 评论
Every Corporation Owns Its Structure: Corporate Credit Rating via Graph Neural Networks  5th
Every Corporation Owns Its Structure: Corporate Credit Ratin...
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5th Chinese conference on pattern recognition and computer vision (PRCV)
作者: Feng, Bojing Xu, Haonan Xue, Wenfang Xue, Bindang Chinese Acad Sci Inst Automat Ctr Res Intelligent Percept & Comp Natl Lab Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Beihang Univ Sch Astronaut Beijing Peoples R China
Credit rating is an analysis of the credit risks associated with a corporation, which reflects the level of the riskiness and reliability in investing, and plays a vital role in financial risk. There have emerged many... 详细信息
来源: 评论
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
Learning View-Disentangled Human Pose Representation by Cont...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Long Wang, Yuxiao Zhao, Jiaping Yuan, Liangzhe Sun, Jennifer J. Schroff, Florian Adam, Hartwig Peng, Xi Metaxas, Dimitris Liu, Ting Rutgers State Univ New Brunswick NJ 08901 USA Google Res Mountain View CA USA CALTECH Pasadena CA 91125 USA Univ Delaware Newark DE 19716 USA Google Mountain View CA 94043 USA
We introduce a novel representation learning method to disentangle pose-dependent as well as view-dependent factors from 2D human poses. The method trains a network using cross-view mutual information maximization (CV... 详细信息
来源: 评论