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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1131-1140 订阅
DDOS: The Drone Depth and Obstacle Segmentation Dataset
DDOS: The Drone Depth and Obstacle Segmentation Dataset
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Benedikt Kolbeinsson Krystian Mikolajczyk Imperial College London
The advancement of autonomous drones, essential for sectors such as remote sensing and emergency services, is hindered by the absence of training datasets that fully capture the environmental challenges present in rea... 详细信息
来源: 评论
Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics
Improving Semi-Supervised Domain Adaptation Using Effective ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Singh, Anurag Doraiswamy, Naren Takamuku, Sawa Bhalerao, Megh Dutta, Titir Biswas, Soma Chepuri, Aditya Vengatesan, Balasubramanian Natori, Naotake Indian Inst Sci Bangalore Karnataka India Aisin Corp Toyota Japan Aisin Automot Haryana Pvt Ltd Bangalore Karnataka India
Recently, semi-supervised domain adaptation (SSDA) approaches have shown impressive performance for the domain adaptation task. They effectively utilize few labeled target samples along with the unlabeled data to acco... 详细信息
来源: 评论
Region-Adaptive Deformable Network for Image Quality Assessment
Region-Adaptive Deformable Network for Image Quality Assessm...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shi, Shuwei Bai, Qingyan Cao, Mingdeng Xia, Weihao Wang, Jiahao Chen, Yifan Yang, Yujiu Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China
Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In image restoration and enhancement ta... 详细信息
来源: 评论
Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores
Technical Report of NICE Challenge at CVPR 2024: Caption Re-...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Kiyoon Jeong Woojun Lee Woongchan Nam Minjeong Ma Pilsung Kang School of Industrial and Management Engineering Korea University
This report presents the ECO (Ensembled Clip score and cOnsensus score) pipeline from team DSBALAB, which is a new framework used to evaluate and rank captions for a given image. ECO selects the most accurate caption ... 详细信息
来源: 评论
TrajFine: Predicted Trajectory Refinement for Pedestrian Trajectory Forecasting
TrajFine: Predicted Trajectory Refinement for Pedestrian Tra...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Kuan-Lin Wang Li-Wu Tsao Jhih-Ciang Wu Hong-Han Shuai Wen-Huang Cheng National Yang Ming Chiao Tung University Taiwan National Taiwan University Taiwan
Trajectory prediction, aiming to forecast future trajectories based on past ones, encounters two pivotal issues: insufficient interactions and scene incompetence. The former signifies a lack of consideration for the i... 详细信息
来源: 评论
Listen Then See: Video Alignment with Speaker Attention
Listen Then See: Video Alignment with Speaker Attention
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Aviral Agrawal Carlos Mateo Samudio Lezcano Iqui Balam Heredia-Marin Prabhdeep Singh Sethi Carnegie Mellon University
Video-based Question Answering (Video QA) is a challenging task and becomes even more intricate when addressing Socially Intelligent Question Answering (SIQA). SIQA requires context understanding, temporal reasoning, ... 详细信息
来源: 评论
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
Efficient Exploration of Image Classifier Failures with Baye...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Adrien Le Coz Houssem Ouertatani Stéphane Herbin Faouzi Adjed IRT SystemX Palaiseau France DTIS ONERA Université Paris Saclay Palaiseau France INRIA Lille France
Image classifiers should be used with caution in the real world. Performance evaluated on a validation set may not reflect performance in the real world. In particular, classifiers may perform well for conditions that... 详细信息
来源: 评论
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
Self-Supervised Learning with Generative Adversarial Network...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Bashir Kazimi Karina Ruzaeva Stefan Sandfeld IAS-9 Forschungszentrum Jülich GmbH Jülich Germany RWTH Aachen University Aachen Germany
In this work, we explore the potential of self-supervised learning with Generative Adversarial Networks (GANs) for electron microscopy datasets. We show how self-supervised pretraining facilitates efficient fine-tunin... 详细信息
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Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking
Cluster Self-Refinement for Enhanced Online Multi-Camera Peo...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Jeongho Kim Wooksu Shin Hancheol Park Donghyuk Choi Nota Inc. Republic of Korea
Recently, there has been a significant amount of research on Multi-Camera People Tracking (MCPT). MCPT presents more challenges compared to Multi-Object Single Camera Tracking, leading many existing studies to address... 详细信息
来源: 评论
Temporal surface frame anomalies for deepfake video detection
Temporal surface frame anomalies for deepfake video detectio...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Andrea Ciamarra Roberto Caldelli Alberto Del Bimbo University of Florence Florence Italy Universitas Mercatorum Rome Italy CNIT Florence Italy
Looking at a video sequence where a foreground person is represented is not as time ago anymore. Deepfakes have revolutionized our way to watch at such contents and nowadays we are more often used to wonder if what we... 详细信息
来源: 评论