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检索条件"任意字段=1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992"
6449 条 记 录,以下是421-430 订阅
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Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Chen, Bo Bakhshi, Ali Batista, Gustavo Ng, Brian Chin, Tat-Jun Univ Adelaide Adelaide SA Australia Univ New South Wales Sydney NSW Australia
An increasing number of artificial intelligence (AI) applications involve the execution of deep neural networks (DNNs) on edge devices. Many practical reasons motivate the need to update the DNN model on the edge devi... 详细信息
来源: 评论
Nonuniformly Dehaze Network for Visible Remote Sensing Images
Nonuniformly Dehaze Network for Visible Remote Sensing Image...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Chen, Zhaojie Li, Qi Feng, Huajun Xu, Zhihai Chen, Yueting Zhejiang Univ Coll Opt Sci & Engn Hangzhou Peoples R China
Nonuniform haze on remote sensing images degrades image quality and hinders many high-level tasks. In this paper, we propose a Nonuniformly Dehaze Network towards nonuniform haze on visible remote sensing images. To e... 详细信息
来源: 评论
Vicinal Counting Networks
Vicinal Counting Networks
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ranjan, Viresh Minh Hoai SUNY Stony Brook Stony Brook NY 11794 USA VinAI Res Hanoi Vietnam
We tackle the task of Few-Shot Counting. Given an image containing multiple objects of a novel visual category and few exemplar bounding boxes depicting the visual category of interest, we want to count all of the ins... 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
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
CNLL: A Semi-supervised Approach For Continual Noisy Label L...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Karim, Nazmul Khalid, Umar Esmaeili, Ashkan Rahnavard, Nazanin Univ Cent Florida Dept Elect & Comp Engn Orlando FL 32816 USA
The task of continual learning requires careful design of algorithms that can tackle catastrophic forgetting. However, the noisy label, which is inevitable in a real-world scenario, seems to exacerbate the situation. ... 详细信息
来源: 评论
Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction Framework
Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysi...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wu, Shaokai Liu, Zhaogeng Pei, Wencheng Hong, Jianbo Li, Zhanshan Jilin Univ Coll Comp Sci & Technol Changchun Peoples R China Jilin Univ Sch Artificial Intelligence Changchun Peoples R China
With bounding box labels needed for training, object detection is viewed unfavorably in terms of crowd analysis, due to the intensive labor for labeling and the unsatisfactory performance in clutters and severe occlus... 详细信息
来源: 评论
Transformaly - Two (Feature Spaces) Are Better Than One
Transformaly - Two (Feature Spaces) Are Better Than One
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Cohen, Matan Jacob Avidan, Shai Tel Aviv Univ Blavatnik Sch Comp Sci Tel Aviv Israel Tel Aviv Univ Sch Elect Engn Tel Aviv Israel
Anomaly detection is a well-established research area that seeks to identify samples outside of a predetermined distribution. An anomaly detection pipeline is comprised of two main stages: (1) feature extraction and (... 详细信息
来源: 评论
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Ba...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Qin, Jiawei Shimoyama, Takuru Sugano, Yusuke Univ Tokyo Inst Ind Sci Tokyo Japan
Despite recent advances in appearance-based gaze estimation techniques, the need for training data that covers the target head pose and gaze distribution remains a crucial challenge for practical deployment. This work... 详细信息
来源: 评论
Semantic Segmentation for Thermal Images: A Comparative Survey
Semantic Segmentation for Thermal Images: A Comparative Surv...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kutuk, Zulfiye Algan, Gorkem Aselsan Inc Dept Image Proc & Comp Vis Technol Ankara Turkey
Semantic segmentation is a challenging task since it requires excessively more low-level spatial information of the image compared to other computer vision problems. The accuracy of pixel-level classification can be a... 详细信息
来源: 评论
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Adversarial Machine Learning Attacks Against Video Anomaly D...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Mumcu, Furkan Doshi, Keval Yilmaz, Yasin Univ S Florida 4202 E Fowler Ave Tampa FL 33620 USA
Anomaly detection in videos is an important computer vision problem with various applications including automated video surveillance. Although adversarial attacks on image understanding models have been heavily invest... 详细信息
来源: 评论