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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8947 条 记 录,以下是281-290 订阅
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NL-FFC: Non-Local Fast Fourier Convolution for Image Super Resolution
NL-FFC: Non-Local Fast Fourier Convolution for Image Super R...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Space Applicat Ctr Signal & Image Proc Grp Ahmadabad India
Deep neural networks have shown promising results in image super-resolution by learning a complex mapping from low resolution to high resolution image. However, most of the approaches learns to upsample by using convo... 详细信息
来源: 评论
Class-wise Thresholding for Robust Out-of-Distribution Detection
Class-wise Thresholding for Robust Out-of-Distribution Detec...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guarrera, Matteo Jin, Baihong Lin, Tung-Wei Zuluaga, Maria A. Chen, Yuxin Sangiovanni-Vincentelli, Alberto Univ Calif Berkeley Berkeley CA 94720 USA EURECOM Biot France Univ Chicago Chicago IL 60637 USA
We consider the problem of detecting Out-of-Distribution (OoD) input data when using deep neural networks, and we propose a simple yet effective way to improve the robustness of several popular OoD detection methods a... 详细信息
来源: 评论
Integrating Pose and Mask Predictions for Multi-person in Videos
Integrating Pose and Mask Predictions for Multi-person in Vi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Heo, Miran Hwang, Sukjun Oh, Seoung Wug Lee, Joon-Young Kim, Seon Joo Yonsei Univ Seoul South Korea Adobe Res San Jose CA USA
In real-world applications for video editing, humans are arguably the most important objects. When editing videos of humans, the efficient tracking of fine-grained masks and body joints is the fundamental requirement.... 详细信息
来源: 评论
Cross Transferring Activity recognition to Word Level Sign Language Detection
Cross Transferring Activity Recognition to Word Level Sign L...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Radhakrishnan, Srijith Mohan, Nikhil C. Varma, Manisimha Varma, Jaithra Pai, Smitha N. Manipal Acad Higher Educ Manipal Inst Technol Dept Informat & Commun Technol Manipal 576104 Karnataka India Manipal Acad Higher Educ Manipal Inst Technol Dept Comp Sci & Engn Manipal 576104 Karnataka India Manipal Acad Higher Educ Manipal Inst Technol Dept Data Sci & Comp Applicat Manipal 576104 Karnataka India
The lack of large scale labelled datasets in word-level sign language recognition (WSLR) poses a challenge to detecting sign language from videos. Most WSLR approaches operate on datasets that do not model real-world ... 详细信息
来源: 评论
On-Sensor Binarized Fully Convolutional Neural Network for Localisation and Coarse Segmentation
On-Sensor Binarized Fully Convolutional Neural Network for L...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Yanan Lu, Yao Shanghai Univ Sch Microelect Shanghai Peoples R China Univ Bristol Visual Informat Lab Bristol Avon England
Current neural networks are compatible with high-performance GPU/CPUs. However, implementing neural networks on emerging embedded sensor for inference is challenging due to sensor's unique hardware architecture an... 详细信息
来源: 评论
Spacing Loss for Discovering Novel Categories
Spacing Loss for Discovering Novel Categories
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Joseph, K. J. Paul, Sujoy Aggarwal, Gaurav Biswas, Soma Rai, Piyush Han, Kai Balasubramanian, Vineeth N. Indian Inst Technol Hyderabad Hyderabad India Google Res Bengaluru India Indian Inst Sci Bengaluru India Lndian Inst Technol Kanpur Kanpur Uttar Pradesh India Univ Hong Kong Hong Kong Peoples R China
Novel Class Discovery (NCD) is a learning paradigm, where a machine learning model is tasked to semantically group instances from unlabeled data, by utilizing labeled instances from a disjoint set of classes. In this ... 详细信息
来源: 评论
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Gyuhak Esmaeilpour, Sepideh Xiao, Changnan Liu, Bing Univ Illinois Chicago IL 60607 USA ByteDance Beijing Peoples R China
Existing continual learning techniques focus on either task incremental learning (TIL) or class incremental learning (CIL) problem, but not both. CIL and TIL differ mainly in that the task-id is provided for each test... 详细信息
来源: 评论
Posture-based Infant Action recognition in the Wild with Very Limited Data
Posture-based Infant Action Recognition in the Wild with Ver...
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Huang, Xiaofei Luan, Lingfei Hatamimajoumerd, Elaheh Wan, Michael Kakhaki, Pooria Daneshvar Obeid, Rita Ostadabbas, Sarah Northeastern University MA United States Case Western Reserve University OH United States
Automatic detection of infant actions from home videos could aid medical and behavioral specialists in the early detection of motor impairments in infancy. However, most computer vision approaches for action recogniti... 详细信息
来源: 评论
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
Unsupervised Domain Adaptation for Cardiac Segmentation: Tow...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lu, Changjie Zheng, Shen Gupta, Gaurav Wenzhou Kean Univ Coll Sci & Technol Wenzhou Peoples R China
Unsupervised domain adaptation approaches have recently succeeded in various medical image segmentation tasks. The reported works often tackle the domain shift problem by aligning the domain-invariant features and min... 详细信息
来源: 评论
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Potamias, Rolandos Alexandros Neofytou, Alexandros Bintsi, Kyriaki Margarita Zafeiriou, Stefanos Imperial Coll London London England OCM Digital Media Athens Greece
Geodesic paths and distances are among the most popular intrinsic properties of 3D surfaces. Traditionally, geodesic paths on discrete polygon surfaces were computed using shortest path algorithms, such as Dijkstra. H... 详细信息
来源: 评论