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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4771-4780 订阅
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Learning a Proposal Classifier for Multiple Object Tracking
Learning a Proposal Classifier for Multiple Object Tracking
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dai, Peng Weng, Renliang Choi, Wongun Zhang, Changshui He, Zhangping Ding, Wei Tsinghua Univ Beijing Peoples R China Aibee Inc Beijing Peoples R China
The recent trend in multiple object tracking (MOT) is heading towards leveraging deep learning to boost the tracking performance. However, it is not trivial to solve the data-association problem in an end-to-end fashi... 详细信息
来源: 评论
RPN Prototype Alignment For Domain Adaptive Object Detector
RPN Prototype Alignment For Domain Adaptive Object Detector
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yixin Wang, Zilei Mao, Yushi Univ Sci & Technol China Dept Automat Hefei Peoples R China
Recent years have witnessed great progress of object detection. However, due to the domain shift problem, applying the knowledge of an object detector learned from one specific domain to another one often suffers seve... 详细信息
来源: 评论
Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation using Unreal Engine 5
Photorealistic Arm Robot Simulation for 3D Plant Reconstruct...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Xingjian Li Jeremy Park Chris Reberg-Horton Steven Mirsky Edgar Lobaton Lirong Xiang Department of Biological and Agricultural Engineering North Carolina State University Department of Electrical and Computer Engineering North Carolina State University Department of Computer Science North Carolina State University Department of Crop and Soil Science North Carolina State University Sustainable Agricultural Systems Laboratory USDA-ARS
Robotics paired with computer vision are widely used in precision agriculture. Simulations are critical for safety and performance estimation by verifying their routine in a virtual world before real-world testing and... 详细信息
来源: 评论
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation patterns
Run-time Monitoring of 3D Object Detection in Automated Driv...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Hakan Yekta Yatbaz Mehrdad Dianati Konstantinos Koufos Roger Woodman WMG University of Warwick School of Electronics Electrical Engineering and Computer Science (EEECS) Queen's University of Belfast
Monitoring the integrity of object detection for errors within the perception module of automated driving systems (ADS) is paramount for ensuring safety. Despite recent advancements in deep neural network (DNN)-based ... 详细信息
来源: 评论
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation
Generalizing to the Open World: Deep Visual Odometry with On...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Shunkai Wu, Xin Cao, Yingdian Zha, Hongbin Peking Univ Sch EECS Key Lab Machine Percept MOE PKU SenseTime Machine Vis Joint Lab Beijing Peoples R China
Despite learning-based visual odometry (VO) has shown impressive results in recent years, the pretrained networks may easily collapse in unseen environments. The large domain gap between training and testing data make... 详细信息
来源: 评论
Multiresolution Knowledge Distillation for Anomaly Detection
Multiresolution Knowledge Distillation for Anomaly Detection
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Salehi, Mohammadreza Sadjadi, Niousha Baselizadeh, Soroosh Rohban, Mohammad H. Rabiee, Hamid R. Sharif Univ Technol Dept Comp Engn Tehran Iran
Unsupervised representation learning has proved to be a critical component of anomaly detection/localization in images. The challenges to learn such a representation are two-fold. Firstly, the sample size is not often... 详细信息
来源: 评论
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with P...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yu, Frank Salzmann, Mathieu Fua, Pascal Rhodin, Helge Univ British Columbia Vancouver BC Canada Ecole Polytech Fed Lausanne Lausanne Switzerland
Local processing is an essential feature of CNNs and other neural network architectures-it is one of the reasons why they work so well on images where relevant information is, to a large extent, local. However, perspe... 详细信息
来源: 评论
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
HistoGAN: Controlling Colors of GAN-Generated and Real Image...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Afifi, Mahmoud Brubaker, Marcus A. Brown, Michael S. York Univ N York ON Canada
While generative adversarial networks (GANs) can successfully produce high-quality images, they can be challenging to control. Simplifying GAN-based image generation is critical for their adoption in graphic design an... 详细信息
来源: 评论
Image-to-image Translation via Hierarchical Style Disentanglement
Image-to-image Translation via Hierarchical Style Disentangl...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Xinyang Zhang, Shengchuan Hu, Jie Cao, Liujuan Hong, Xiaopeng Mao, Xudong Huang, Feiyue Wu, Yongjian Ji, Rongrong Xiamen Univ Sch Informat Xiamen Peoples R China Xi An Jiao Tong Univ Xian Peoples R China Peng Cheng Lab Shenzhen Peoples R China Xiamen Univ Tencent Youtu Lab Xiamen Peoples R China Xiamen Univ Inst Artificial Intelligence Xiamen Peoples R China
Recently, image-to-image translation has made significant progress in achieving both multi-label (i.e., translation conditioned on different labels) and multi-style (i.e., generation with diverse styles) tasks. Howeve... 详细信息
来源: 评论
Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
Event Camera Demosaicing via Swin Transformer and Pixel-focu...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Yunfan Lu Yijie Xu Wenzong Ma Weiyu Guo Hui Xiong AI Thrust Hong Kong University of Science and Technology (Guangzhou)
Recent research has highlighted improvements in high-quality imaging guided by event cameras, with most of these efforts concentrating on the RGB domain. However, these advancements frequently neglect the unique chall... 详细信息
来源: 评论