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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5506 条 记 录,以下是671-680 订阅
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Low Bandwidth Video-Chat Compression using Deep Generative Models
Low Bandwidth Video-Chat Compression using Deep Generative M...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Oquab, Maxime Stock, Pierre Gafni, Oran Haziza, Daniel Xu, Tao Zhang, Peizhao Celebi, Onur Hasson, Yana Labatut, Patrick Bose-Kolanu, Bobo Peyronel, Thibault Couprie, Camille Facebook Menlo Pk CA 94025 USA INRIA Le Chesnay France
To unlock video chat for hundreds of millions of people hindered by poor connectivity or unaffordable data costs, we propose to authentically reconstruct faces on the receiver's device using facial landmarks extra... 详细信息
来源: 评论
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclas...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lai, Zhengfeng Wang, Chao Cheung, Sen-ching Chuah, Chen-Nee Univ Calif Davis Davis CA 95616 USA Southern Univ Sci & Technol Shenzhen Peoples R China Univ Kentucky Lexington KY 40506 USA
Class-imbalanced datasets can severely deteriorate the performance of semi-supervised learning (SSL). This is due to the confirmation bias especially when the pseudo labels are highly biased towards the majority class... 详细信息
来源: 评论
Learning Contextual Causality between Daily Events from Time-consecutive Images
Learning Contextual Causality between Daily Events from Time...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Hongming Huo, Yintong Zhao, Xinran Song, Yangqiu Roth, Dan HKUST Hong Kong Peoples R China CUHK Hong Kong Peoples R China UPenn Philadelphia PA 19104 USA
Conventional textual-based causal knowledge acquisition methods typically require laborious and expensive human annotations. As a result, their scale is often limited. Moreover, as no context is provided during the an... 详细信息
来源: 评论
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
On the Robustness of Monte Carlo Dropout Trained with Noisy ...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Goel, Purvi Li Chen Facebook Menlo Pk CA 94025 USA
The memorization effect of deep learning hinders its performance to effectively generalize on test set when learning with noisy labels. Prior study has discovered that epistemic uncertainty techniques are robust when ... 详细信息
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Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection
Pseudo-label Generation and Various Data Augmentation for Se...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jun Zhang, Liwen Du, Shenshen Chang, Hao Lu, Keda Zhang, Zhong Yu, Ye Wang, Lei Ling, Qiang Univ Sci & Technol China Hefei Anhui Peoples R China Hefei ZhanDa Intelligence Technol Co Ltd Hefei Anhui Peoples R China Hefei Univ Technol Hefei Anhui Peoples R China
Semi-supervised learning is a highly researched problem, but existing semi-supervised object detection frameworks are based on RGB images, and existing pre-trained models cannot be used for hyperspectral images. To ov... 详细信息
来源: 评论
Ternary Feature Masks: zero-forgetting for task-incremental learning
Ternary Feature Masks: zero-forgetting for task-incremental ...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Masana, Marc Tuytelaars, Tinne Van de Weijer, Joost Comp Vis Ctr Barcelona Spain Katholieke Univ Leuven ESAT PSI Leuven Belgium
We propose an approach without any forgetting to continual learning for the task-aware regime, where at inference the task-label is known. By using ternary masks we can upgrade a model to new tasks, reusing knowledge ... 详细信息
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KCNN: Extremely-Efficient Hardware Keypoint Detection with a Compact Convolutional Neural Network  31
KCNN: Extremely-Efficient Hardware Keypoint Detection with a...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Di Febbo, Paolo Dal Mutto, Carlo Tieu, Kinh Mattoccia, Stefano Aquifi Inc Palo Alto CA 94303 USA Univ Bologna Bologna Italy
Keypoint detection algorithms are typically based on handcrafted combinations of derivative operations implemented with standard image filtering approaches. The early layers of Convolutional Neural Networks (CNNs) for... 详细信息
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Multi-modal Aerial View Object Classification Challenge Results - PBVS 2022
Multi-modal Aerial View Object Classification Challenge Resu...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Low, Spencer Nina, Oliver Sappa, Angel D. Blasch, Erik Brigham Young Univ Provo UT 84602 USA Air Force Res Lab Dayton OH USA ESPOL Polytech Univ Ecuador Comp Vision Ctr Guayaquil Ecuador Air Force Off Sci Res Arlington VA USA
This paper details the results and main findings of the second iteration of the Multi-modal Aerial View Object Classification (MAVOC) challenge. The primary goal of both MAVOC challenges is to inspire research into me... 详细信息
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QFabric: Multi-Task Change Detection Dataset
QFabric: Multi-Task Change Detection Dataset
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Verma, Sagar Panigrahi, Akash Gupta, Siddharth Univ Paris Saclay INRIA Cent Supelec Ctr Vis Numer Paris France Granular AI Somerville NJ USA
Detecting change through multi-image, multi-date remote sensing is essential to developing and understanding of global conditions. Despite recent advancements in remote sensing realized through deep learning, novel me... 详细信息
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A Train Station Surveillance System: Challenges and Solutions
A Train Station Surveillance System: Challenges and Solution...
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27th IEEE conference on computer vision and pattern recognition (CVPR)
作者: Ozer, Burak Wolf, Marilyn Perkasie United States School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta United States
In this paper, we describe our multi-year development effort to create a smart-camera surveillance system for use in train stations. We address the problem of activity analysis in very crowded areas and offer solution... 详细信息
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