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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591-600 订阅
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DFM: A Performance Baseline for Deep Feature Matching
DFM: A Performance Baseline for Deep Feature Matching
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Efe, Ufuk Ince, Kutalmis Gokalp Alatan, A. Aydin Middle East Tech Univ Dept Elect & Elect Engn Ctr Image Anal OGAM Ankara Turkey
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method uses pre-trained VGG architecture as a ... 详细信息
来源: 评论
Evaluating Scalable Bayesian Deep Learning Methods for Robust computer vision
Evaluating Scalable Bayesian Deep Learning Methods for Robus...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gustafsson, Fredrik K. Danelljan, Martin Schoen, Thomas B. Uppsala Univ Dept Informat Technol Uppsala Sweden Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
While deep neural networks have become the go-to approach in computer vision, the vast majority of these models fail to properly capture the uncertainty inherent in their predictions. Estimating this predictive uncert... 详细信息
来源: 评论
Video Demo: An Egocentric vision based Assistive Co-robot
Video Demo: An Egocentric Vision based Assistive Co-robot
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26th IEEE conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Jingzhe Zhuang, Lishuo Wang, Yang Zhou, Yameng Meng, Yan Hua, Gang Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA Stevens Inst Technol Dept Comp Sci Hoboken NJ 07030 USA
We present the video demo of the prototype of an egocentric vision based assistive co-robot system. In this co-robot system, the user is wearing a pair of glasses with a forward looking camera, and is actively engaged... 详细信息
来源: 评论
DAMSL: Domain Agnostic Meta Score-based Learning
DAMSL: Domain Agnostic Meta Score-based Learning
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cai, John Cai, Bill Mei, Shen Sheng Princeton Univ Princeton NJ 08544 USA MIT Cambridge MA 02139 USA Pensees Pte Ltd Singapore Singapore
In this paper, we propose Domain Agnostic Meta Score-based Learning (DAMSL), a novel, versatile and highly effective solution that delivers significant out-performance over state-of-the-art methods for cross-domain fe... 详细信息
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Adversarial Fooling Beyond "Flipping the Label"
Adversarial Fooling Beyond "Flipping the Label"
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mopuri, Konda Reddy Shaj, Vaisakh Babu, R. Venkatesh Indian Inst Sci Video Analyt Lab Benguluru India
Recent advancements in CNNs have shown remarkable achievements in various CV/AI applications. Though CNNs show near human or better than human performance in many critical tasks, they are quite vulnerable to adversari... 详细信息
来源: 评论
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data
AuxMix: Semi-Supervised Learning with Unconstrained Unlabele...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Banitalebi-Dehkordi, Amin Gujjar, Pratik Zhang, Yong Huawei Technol Canada Co Ltd Vancouver BC Canada
Semi-supervised learning (SSL) has seen great strides when labeled data is scarce but unlabeled data is abundant. Critically, most recent work assume that such unlabeled data is drawn from the same distribution as the... 详细信息
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Federated Learning with a Single Shared Image
Federated Learning with a Single Shared Image
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Soni, Sunny Saeed, Aaqib Asano, Yuki M. Univ Amsterdam Amsterdam Netherlands TU Eindhoven Eindhoven Netherlands
Federated Learning (FL) enables multiple machines to collaboratively train a machine learning model without sharing of private training data. Yet, especially for heterogeneous models, a key bottleneck remains the tran... 详细信息
来源: 评论
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Von Braun, Marie-Sophie Frenzel, Patrick Kaeding, Christian Fuchs, Mirco Leipzig Univ Appl Sci Lab Biosignal Proc Leipzig Germany Inst Appl Training Sci Leipzig Leipzig Germany
Determining a waterline in images recorded in canoe sprint training is an important component for the kinematic parameter analysis to assess an athlete's performance. Here, we propose an approach for the automated... 详细信息
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Dynamic Attention-based Visual Odometry
Dynamic Attention-based Visual Odometry
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kuo, Xin-Yu Liu, Chien Lin, Kai-Chen Lee, Chun-Yi Natl Tsing Hua Univ Dept Comp Sci Elsa Lab Hsinchu Taiwan
This paper proposes a dynamic attention-based visual odometry framework (DAVO), a learning-based VO method, for estimating the ego-motion of a monocular camera. DAVO dynamically adjusts the attention weights on differ... 详细信息
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Multi-Modal Hit Detection and Positional Analysis in Padel Competitions
Multi-Modal Hit Detection and Positional Analysis in Padel C...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Decorte, Robbe Pare, Martin Vanhaeverbeke, Jelle Taelman, Joachim Slembrouck, Maarten Verstockt, Steven Univ Ghent imec IDLab Ghent Belgium
Padel is a rapidly growing racquet sport and has gained popularity globally due to its accessibility and exciting gameplay dynamics. Effective coordination between teammates hinges on maintaining an appropriate distan... 详细信息
来源: 评论