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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22908 条 记 录,以下是4771-4780 订阅
Remote Sensing Image Object Detection Method with Feature Denoising Fusion Module  7
Remote Sensing Image Object Detection Method with Feature De...
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7th ieee Advanced Information Technology, Electronic and Automation Control conference, IAEAC 2024
作者: Chen, Penghui Li, Qishen Li, Qiufeng Wu, Zhongyu Nanchang Hangkong University School of Information Engineering Jiangxi Nanchang China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Jiangxi Nanchang China Nanchang Hangkong University School of Software Jiangxi Nanchang China Jiangxi Nanchang China
Remote sensing object detection is an important research area in computer vision, widely applied in both military and civilian domains. However, challenges in remote sensing image object detection such as large image ... 详细信息
来源: 评论
MetaHTR: Towards Writer-Adaptive Handwritten Text recognition
MetaHTR: Towards <i>Writer</i>-<i>Adaptive</i> Handwritten T...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bhunia, Ayan Kumar Ghose, Shuvozit Kumar, Amandeep Chowdhury, Pinaki Nath Sain, Aneeshan Song, Yi-Zhe Univ Surrey CVSSP SketchX Guildford Surrey England iFlyTek Surrey Joint Res Ctr Artificial Intellige Guildford Surrey England
Handwritten Text recognition (HTR) remains a challenging problem to date, largely due to the varying writing styles that exist amongst us. Prior works however generally operate with the assumption that there is a limi... 详细信息
来源: 评论
Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs
Revisiting Superpixels for Active Learning in Semantic Segme...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cai, Lile Xu, Xun Liew, Jun Hao Foo, Chuan Sheng Inst Infocomm Res Singapore Singapore Natl Univ Singapore Singapore Singapore
State-of-the-art methods for semantic segmentation are based on deep neural networks that are known to be data-hungry. Region-based active learning has shown to be a promising method for reducing data annotation costs... 详细信息
来源: 评论
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
DANNet: A One-Stage Domain Adaptation Network for Unsupervis...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wu, Xinyi Wu, Zhenyao Guo, Hao Ju, Lili Wang, Song Univ South Carolina Columbia SC 29208 USA Farsee2 Technol Ltd Shenzhen Guangdong Peoples R China
Semantic segmentation of nighttime images plays an equally important role as that of daytime images in autonomous driving, but the former is much more challenging due to poor illuminations and arduous human annotation... 详细信息
来源: 评论
What does CLIP know about peeling a banana?
What does CLIP know about peeling a banana?
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Claudia Cuttano Gabriele Rosi Gabriele Trivigno Giuseppe Averta Politecnico di Torino Focoos AI
Humans show an innate capability to identify tools to support specific actions. The association between objects parts and the actions they facilitate is usually named affordance. Being able to segment objects parts de... 详细信息
来源: 评论
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
One Thing One Click: A Self-Training Approach for Weakly Sup...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Zhengzhe Qi, Xiaojuan Fu, Chi-Wing Chinese Univ Hong Kong Hong Kong Peoples R China Univ Hong Kong Hong Kong Peoples R China
Point cloud semantic segmentation often requires large-scale annotated training data, but clearly, point-wise labels are too tedious to prepare. While some recent methods propose to train a 3D network with small perce... 详细信息
来源: 评论
computer-vision Based Attention Monitoring for Online Meetings  5
Computer-Vision Based Attention Monitoring for Online Meetin...
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5th International conference on pattern recognition and Artificial Intelligence, PRAI 2022
作者: Dacayan, Tristram Kwak, Daehan Zhang, Xudong Kean University School of Computer Science and Technology UnionNJ United States
Due to the appearance of COVID-19, virtual video conferencing platforms like Zoom and Google Meet have become one of the main alternative ways to conduct virtual meetings and presentations. While the virtual platforms... 详细信息
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Generic Perceptual Loss for Modeling Structured Output Dependencies
Generic Perceptual Loss for Modeling Structured Output Depen...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Yifan Chen, Hao Chen, Yu Yin, Wei Shen, Chunhua Univ Adelaide Adelaide SA Australia Automind Vancouver BC Canada Monash Univ Clayton Vic Australia
The perceptual loss has been widely used as an effective loss term in image synthesis tasks including image super-resolution [16], and style transfer [14]. It was believed that the success lies in the high-level perce... 详细信息
来源: 评论
Pixel-aligned Volumetric Avatars
Pixel-aligned Volumetric Avatars
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Raj, Amit Zollhofer, Michael Simon, Tomas Saragih, Jason Saito, Shunsuke Hays, James Lombardi, Stephen Georgia Inst Technol Atlanta GA 30332 USA Facebook Real Labs Res Menlo Pk CA USA
Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality is achieved by volumetric approaches ... 详细信息
来源: 评论
3D-MAN: 3D Multi-frame Attention Network for Object Detection
3D-MAN: 3D Multi-frame Attention Network for Object Detectio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Zetong Zhou, Yin Chen, Zhifeng Ngiam, Jiquan Chinese Univ Hong Kong Hong Kong Peoples R China Waymo LLC Mountain View CA USA Google Res Brain Team Mountain View CA USA
3D object detection is an important module in autonomous driving and robotics. However, many existing methods focus on using single frames to perform 3D detection, and do not fully utilize information from multiple fr... 详细信息
来源: 评论