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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是3211-3220 订阅
排序:
Suppressing Model Overfitting for Image Super-Resolution Networks
Suppressing Model Overfitting for Image Super-Resolution Net...
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Ruicheng Feng Jinjin Gu Yu Qiao Chao Dong ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences The School of Science and Engineering The Chinese University of Hong Kong
Large deep networks have demonstrated competitive performance in single image super-resolution (SISR), with a huge volume of data involved. However, in real-world scenarios, due to the limited accessible training pair... 详细信息
来源: 评论
Pedestrian Detection in Thermal Images using Saliency Maps
Pedestrian Detection in Thermal Images using Saliency Maps
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Debasmita Ghose Shasvat M. Desai Sneha Bhattacharya Deep Chakraborty Madalina Fiterau Tauhidur Rahman College of Information and Computer Sciences University of Massachusetts
Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime. To solve this problem, most state-of-the-art techniques employ a fusion network th... 详细信息
来源: 评论
Recurrent Segmentation for Variable Computational Budgets  31
Recurrent Segmentation for Variable Computational Budgets
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: McIntosh, Lane Maheswaranathan, Niru Sussillo, David Shlens, Jonathon Stanford Univ Stanford CA 94305 USA Google Brain Mountain View CA USA
State-of-the-art systems for semantic image segmentation use feed-forward pipelines with fixed computational costs. Building an image segmentation system that works across a range of computational budgets is challengi... 详细信息
来源: 评论
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Complexer-YOLO: Real-Time 3D Object Detection and Tracking o...
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Martin Simon Karl Amende Andrea Kraus Jens Honer Timo Samann Hauke Kaulbersch Stefan Milz Horst Michael Gross Valeo Schalter und Sensoren GmbH Ilmenau University of Technology
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robotics. In this work we present a novel ... 详细信息
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A Comparative Study of Real-time Semantic Segmentation for Autonomous Driving  31
A Comparative Study of Real-time Semantic Segmentation for A...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Siam, Mennatullah Gamal, Mostafa Abdel-Razek, Moemen Yogamani, Senthil Jagersand, Martin Zhang, Hong Univ Alberta Edmonton AB Canada Cairo Univ Giza Egypt Valeo Vis Syst Tuam Ireland
Semantic segmentation is a critical module in robotics related applications, especially autonomous driving. Most of the research on semantic segmentation is focused on improving the accuracy with less attention paid t... 详细信息
来源: 评论
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning
MultiNet++: Multi-Stream Feature Aggregation and Geometric L...
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Sumanth Chennupati Ganesh Sistu Senthil Yogamani Samir A Rawashdeh Valco North America Valeo Vision Systems University of Michigan-Dearborn
Multi-task learning is commonly used in autonomous driving for solving various visual perception tasks. It offers significant benefits in terms of both performance and computational complexity. Current work on multi-t... 详细信息
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Assessing Shape Bias Property of Convolutional Neural Networks  31
Assessing Shape Bias Property of Convolutional Neural Networ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hosseini, Hossein Xiao, Baicen Jaiswal, Mayoore Poovendran, Radha Univ Washington Dept Elect Engn NSL Seattle WA 98195 USA
It is known that humans display "shape bias" when classifying new items, i.e., they prefer to categorize objects based on their shape rather than color. Convolutional Neural Networks (CNNs) are also designed... 详细信息
来源: 评论
Empirically Analyzing the Effect of Dataset Biases on Deep Face recognition Systems  31
Empirically Analyzing the Effect of Dataset Biases on Deep F...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kortylewski, Adam Egger, Bernhard Schneider, Andreas Gerig, Thomas Morel-Forster, Andreas Vetter, Thomas Univ Basel Dept Math & Comp Sci Basel Switzerland
It is unknown what kind of biases modern in the wild face datasets have because of their lack of annotation. A direct consequence of this is that total recognition rates alone only provide limited insight about the ge... 详细信息
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SCAN: Spatial Color Attention Networks for Real Single Image Super-Resolution
SCAN: Spatial Color Attention Networks for Real Single Image...
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Xuan Xu Xin Li Lane Department of Computer Science and Electrical Engineering West Virginia University
Conceptually similar to adaptation in model-based approaches, attention has received increasing more attention in deep learning recently. As a tool to reallocate limited computational resources based on the importance... 详细信息
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Design of a Reconfigurable 3D Pixel-Parallel Neuromorphic Architecture for Smart Image Sensor  31
Design of a Reconfigurable 3D Pixel-Parallel Neuromorphic Ar...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bhowmik, Pankaj Pantho, Jubaer Hossain Asadinia, Marjan Bobda, Christophe Univ Arkansas Fayetteville AR 72701 USA
Power reduction and speed-up of image processing algorithms remain of high interest as image resolutions continue to increase. Neuromorphic-circuits are inspired by the nervous system aiming to reduce power consumptio... 详细信息
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