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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是3711-3720 订阅
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NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces
NTIRE 2024 Challenge on HR Depth from Images of Specular and...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Pierluigi Zama Ramirez Fabio Tosi Luigi Di Stefano Radu Timofte Alex Costanzino Matteo Poggi Samuele Salti Stefano Mattoccia Yangyang Zhang Cailin Wu Zhuangda He Shuangshuang Yin Jiaxu Dong Yangchenxu Liu Hao Jiang Jun Shi Yong A Yixiang Jin Dingzhe Li Bingxin Ke Anton Obukhov Tinafu Wang Nando Metzger Shengyu Huang Konrad Schindler Yachuan Huang Jiaqi Li Junrui Zhang Yiran Wang Zihao Huang Tianqi Liu Zhiguo Cao Pengzhi Li Jui-Lin Wang Wenjie Zhu Hui Geng Yuxin Zhang Long Lan Kele Xu Tao Sun Qisheng Xu Sourav Saini Aashray Gupta Sahaj K. Mistry Aryan Shukla Vinit Jakhetiya Sunil Jaiswal Yuejin Sun Zhuofan Zheng Yi Ning Jen-Hao Cheng Hou-I Liu Hsiang-Wei Huang Cheng-Yen Yang Zhongyu Jiang Yi-Hao Peng Aishi Huang Jenq-Neng Hwang
This paper reports on the NTIRE 2024 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement (NTIRE) workshop at CVPR 2024. ... 详细信息
来源: 评论
Advancing COVID-19 Detection in 3D CT Scans
Advancing COVID-19 Detection in 3D CT Scans
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Qingqiu Li Runtian Yuan Junlin Hou Jilan Xu Yuejie Zhang Rui Feng Hao Chen School of Academy for Engineering and Technology Fudan University China School of Computer Science Fudan University China Department of Computer Science and Engineering The Hong Kong University of Science and Technology China
To make a more accurate diagnosis of COVID-19, we propose a straightforward yet effective model. Firstly, we analyze the characteristics of 3D CT scans and remove the non-lung parts, facilitating the model to focus on... 详细信息
来源: 评论
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
ConceptHash: Interpretable Fine-Grained Hashing via Concept ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Kam Woh Ng Xiatian Zhu Yi-Zhe Song Tao Xiang CVSSP University of Surrey iFlyTek-Surrey Joint Research Centre on Artificial Intelligence Surrey Institute for People-Centred Artificial Intelligence
Existing fine-grained hashing methods typically lack code interpretability as they compute hash code bits holistically using both global and local features. To address this limitation, we propose ConceptHash, a novel ... 详细信息
来源: 评论
Mesh Variational Autoencoders with Edge Contraction Pooling
Mesh Variational Autoencoders with Edge Contraction Pooling
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Yu-Jie Yuan Yu-Kun Lai Jie Yang Qi Duan Hongbo Fu Lin Gao Institute of Computing Technology CAS Beijing Key Laboratory of Mobile Computing and Pervasive Device School of Computer Science and Informatics Cardiff University UK SenseTime Research City University of Hong Kong Shenzhen Research Institute of Big Data Shenzhen
3D shape analysis is an important research topic in computer vision and graphics. While existing methods have generalized image-based deep learning to meshes using graph-based convolutions, the lack of an effective po... 详细信息
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Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast Images
Analyzing U-Net Robustness for Single Cell Nucleus Segmentat...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Chenyi Ling Michael Halter Anne Plant Michael Majurski Jeffrey Stinson Joe Chalfoun Software and Systems Division Information Technology Lab NIST Gaithersburg MD Biosystems and Biomaterials Division Material Measurement Lab NIST Gaithersburg MD
We quantify the robustness of the semantic segmentation model U-Net, applied to single cell nuclei detection, with respect to the following factors: (1) automated vs manual training annotations, (2) quantity of traini... 详细信息
来源: 评论
Fast Hardware-Aware Neural Architecture Search
Fast Hardware-Aware Neural Architecture Search
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Li Lyna Zhang Yuqing Yang Yuhang Jiang Wenwu Zhu Yunxin Liu Microsoft Research Tsinghua University
Designing accurate and efficient convolutional neural architectures for vast amount of hardware is challenging because hardware designs are complex and diverse. This paper addresses the hardware diversity challenge in... 详细信息
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Masked Autoencoders are Secretly Efficient Learners
Masked Autoencoders are Secretly Efficient Learners
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Zihao Wei Chen Wei Jieru Mei Yutong Bai Zeyu Wang Xianhang Li Hongru Zhu Huiyu Wang Alan Yuille Yuyin Zhou Cihang Xie University of Michigan Ann Arbor Johns Hopkins University UC Santa Cruz Meta
This paper provides an efficiency study of training Masked Autoencoders (MAE), a framework introduced by He et al. [13] for pre-training vision Transformers (ViTs). Our results surprisingly reveal that MAE can learn a... 详细信息
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Understanding ReLU Network Robustness Through Test Set Certification Performance
Understanding ReLU Network Robustness Through Test Set Certi...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Nicola Franco Jeanette Miriam Lorenz Karsten Roscher Stephan Günnemann Fraunhofer Institute for Cognitive Systems IKS Munich Germany Dept. of Computer Science & Munich Data Science Institute Technical Univ. of Munich Germany
Neural networks can be vulnerable to small changes in input within their learning distribution, and this vulnerability increases for distributional shifts or input completely outside their training distribution. To en... 详细信息
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Attention Guidance Distillation Network for Efficient Image Super-Resolution
Attention Guidance Distillation Network for Efficient Image ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Hongyuan Wang Ziyan Wei Qingting Tang Shuli Cheng Liejun Wang Yongming Li School of Computer Science and Technology Xinjiang University Ürümqi China
Over the past decade, neural network-based super-resolution techniques have been developed on a large scale with impressive achievements. Many novel solutions have been proposed, among which lightweight solutions base... 详细信息
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Robust Data Augmentation and Ensemble Method for Object Detection in Fisheye Camera Images
Robust Data Augmentation and Ensemble Method for Object Dete...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Viet Hung Duong Duc Quyen Nguyen Thien Van Luong Huan Vu Tien Cuong Nguyen VNPT Group VNPT AI Hanoi Vietnam Faculty of Computer Science Phenikaa University Hanoi Vietnam University of Transport and Communications Hanoi Vietnam
In recent years, traffic surveillance systems have begun leveraging fisheye lenses to minimize the requisite number of cameras for comprehensive coverage of streets and intersections. However, as fisheye images have l... 详细信息
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