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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是341-350 订阅
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Facial Expression Classification using Fusion of Deep Neural Network in Video
Facial Expression Classification using Fusion of Deep Neural...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim Ngan Phan Hong-Hai Nguyen Van-Thong Huynh Kim, Soo-Hyung Chonnam Natl Univ Dept Artificial Intelligence Convergence Gwangju South Korea
For computers to recognize human emotions, expression classification is an equally important problem in the human-computer interaction area. In the 3rd Affective Behavior Analysis In-The-Wild competition, the task of ... 详细信息
来源: 评论
Motion Aware Double Attention Network for Dynamic Scene Deblurring
Motion Aware Double Attention Network for Dynamic Scene Debl...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Dan Yamac, Mehmet Huawei Technol Oy Finland Co Ltd Helsinki Finland
Motion deblurring in dynamic scenes is a challenging task when the blurring is caused by one or a combination of various reasons such as moving objects, camera movement, etc. Since event cameras can detect changes in ... 详细信息
来源: 评论
TDT: Teaching Detectors to Track without Fully Annotated Videos
TDT: Teaching Detectors to Track without Fully Annotated Vid...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Shuzhi Wu, Guanhang Gu, Chunhui Fathy, Mohammed E. Duke Univ Durham NC 27706 USA Google LLC Mountain View CA USA
Recently, one-stage trackers that use a joint model to predict both detections and appearance embeddings in one forward pass received much attention and achieved state-of-the-art results on the Multi-Object Tracking (... 详细信息
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Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information
Multi-Camera Vehicle Tracking Based on Occlusion-aware and I...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Yuming Zhang, Xiaochun Zhang, Bingzhen Zhang, Xiaoyong Wang, Sen Xu, Jianrong Shenzhen Urban Transport Planning Ctr Co Ltd Shenzhen Peoples R China
With the demands of analyzing and predicting traffic flow for applications in smart cities, Multi-Target Multi-Camera vehicle Tracking(MTMCT) at the city scale has become a fundamental problem. The MTMCT is challengin... 详细信息
来源: 评论
TinyOps: ImageNet Scale Deep Learning on Microcontrollers
TinyOps: ImageNet Scale Deep Learning on Microcontrollers
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sadiq, Sulaiman Hare, Jonathon Maji, Partha Craske, Simon Merrett, Geoff, V Univ Southampton Southampton Hants England ARM Ltd Cambridge England
Deep Learning on microcontroller (MCU) based IoT devices is extremely challenging due to memory constraints. Prior approaches focus on using internal memory or external memories exclusively which limit either accuracy... 详细信息
来源: 评论
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks
Searching for Energy-Efficient Hybrid Adder-Convolution Neur...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Wenshuo Chen, Xinghao Bai, Jinyu Ning, Xuefei Wang, Yunhe Huawei Noahs Ark Lab Hong Kong Peoples R China Huawei TCS Lab Hong Kong Peoples R China Beihang Univ Sch Integrated Circuit Sci & Engn Beijing Peoples R China Tsinghua Univ Dept Elect Engn Beijing Peoples R China
As convolutional neural networks (CNNs) are more and more widely used in computer vision area, the energy consumption of CNNs has become the focus of researchers. For edge devices, both the battery life and the infere... 详细信息
来源: 评论
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
Revisiting Vicinal Risk Minimization for Partially Supervise...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Dong, Nanqing Wang, Jiayi Voiculescu, Irina Univ Oxford Dept Comp Sci Oxford England Univ Oxford Math Inst Oxford England
Due to the high human cost of annotation, it is non-trivial to curate a large-scale medical dataset that is fully labeled for all classes of interest. Instead, it would be convenient to collect multiple small partiall... 详细信息
来源: 评论
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclas...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lai, Zhengfeng Wang, Chao Cheung, Sen-ching Chuah, Chen-Nee Univ Calif Davis Davis CA 95616 USA Southern Univ Sci & Technol Shenzhen Peoples R China Univ Kentucky Lexington KY 40506 USA
Class-imbalanced datasets can severely deteriorate the performance of semi-supervised learning (SSL). This is due to the confirmation bias especially when the pseudo labels are highly biased towards the majority class... 详细信息
来源: 评论
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?
Can the Mathematical Correctness of Object Configurations Af...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Han Li, Zeqian Whitehill, Jacob Worcester Polytech Inst Worcester MA 01609 USA
We investigate a new type of dataset bias based on the mathematical correctness of object configurations in visual scenes, and how this bias can affect the accuracy of computer vision models. Our experiments demonstra... 详细信息
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Color Invariant Skin Segmentation
Color Invariant Skin Segmentation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xu, Han Sarkar, Abhijit Abbott, A. Lynn Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Virginia Tech Virginia Tech Transportat Inst Blacksburg VA 24061 USA
This paper addresses the problem of automatically detecting human skin in images without reliance on color information. A primary motivation of the work has been to achieve results that are consistent across the full ... 详细信息
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