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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291-300 订阅
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SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems
SymDNN: Simple & Effective Adversarial Robustness for Embedd...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dey, Swarnava Dasgupta, Pallab Chakrabarti, Partha P. Indian Inst Technol Kharagpur Kharagpur 721302 W Bengal India
We propose SymDNN, a Deep Neural Network (DNN) inference scheme, to segment an input image into small patches, replace those patches with representative symbols, and use the reconstructed image for CNN inference. This... 详细信息
来源: 评论
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ouyang, Bojun Raviv, Dan Tel Aviv Univ Tel Aviv Israel
3D scene flow estimation is a vital tool in perceiving our environment given depth or range sensors. Unlike optical flow, the data is usually sparse and in most cases partially occluded in between two temporal samplin... 详细信息
来源: 评论
Two-stage Network For Single Image Super-Resolution
Two-stage Network For Single Image Super-Resolution
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Han, Yuzhuo Du, Xiaobiao Yang, Zhi Dalian Univ Technol Dalian Peoples R China Jilin Univ Zhuhai Coll Zhuhai Peoples R China Dibaocheng Shanghai Med Imaging Technol Co Ltd Shanghai Peoples R China
The task of single-image super-resolution (SISR) is a highly inverse problem because it is very challenging to reconstruct rich details from blurred images. Most previous super-resolution (SR) methods based on the con... 详细信息
来源: 评论
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
Large-Scale Bidirectional Training for Zero-Shot Image Capti...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kim, Taehoon Marsden, Mark Ahn, Pyunghwan Kim, Sangyun Lee, Sihaeng Sala, Alessandra Kim, Seung Hwan LG AI Res Seoul South Korea Shutterstock New York NY USA
When trained on large-scale datasets, image captioning models can understand the content of images from a general domain but often fail to generate accurate, detailed captions. To improve performance, pretraining-and-... 详细信息
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Measuring the Effects of Temporal Coherence in Depth Estimation for Dynamic Scenes  32
Measuring the Effects of Temporal Coherence in Depth Estimat...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Tsekourakis, Iraklis Mordohai, Philippos Stevens Inst Technol Hoboken NJ 07030 USA
This paper presents a new algorithm for enforcing temporal coherence on depth estimation from multi-view videos of dynamic scenes as well as the first substantial quantitative evaluation of the improvement in depth es... 详细信息
来源: 评论
Take the Scenic Route: Improving Generalization in vision-and-Language Navigation
Take the Scenic Route: Improving Generalization in Vision-an...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yu, Felix Deng, Zhiwei Narasimhan, Karthik Russakovsky, Olga Princeton Univ Princeton NJ 08544 USA
In the vision-and-Language Navigation (VLN) task, an agent with egocentric vision navigates to a destination given natural language instructions. The act of manually annotating these instructions is timely and expensi... 详细信息
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A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices
A Simple Baseline for Fast and Accurate Depth Estimation on ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Ziyu Wang, Yicheng Huang, Zilong Luo, Guozhong Yu, Gang Fu, Bin Tencent GY Lab Shenzhen Peoples R China
In this paper, we propose a simple but effective encoder-decoder based network for fast and accurate depth estimation on mobile devices. Unlike other depth estimation methods using heavy context modeling modules, the ... 详细信息
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Improving Multi-Target Multi-Camera Tracking by Track Refinement and Completion
Improving Multi-Target Multi-Camera Tracking by Track Refine...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Specker, Andreas Florin, Lucas Cormier, Mickael Beyerer, Juergen Karlsruhe Inst Technol Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany Fraunhofer Ctr Machine Learning St Augustin Germany
Multi-camera tracking of vehicles on a city-wide level is a core component of modern traffic monitoring systems. For this task, single-camera tracking failures are the most common causes of errors concerning automatic... 详细信息
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A New Non-central Model for Fisheye Calibration
A New Non-central Model for Fisheye Calibration
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Tezaur, Radka Kumar, Avinash Nestares, Oscar Intel Corp Santa Clara CA 95054 USA
A new non-central model suitable for calibrating fisheye cameras is proposed. It is a direct extension of the popular central model developed by Scaramuzza et al., used by Matlab computer vision Toolbox fisheye calibr... 详细信息
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When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search
When NAS Meets Trees: An Efficient Algorithm for Neural Arch...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Qian, Guocheng Zhang, Xuanyang Li, Guohao Zhao, Chen Chen, Yukang Zhang, Xiangyu Ghanem, Bernard Sun, Jian King Abdullah Univ Sci & Technol KAUST Thuwal Saudi Arabia MEGVII Technol Beijing Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
The key challenge in neural architecture search (NAS) is designing how to explore wisely in the huge search space. We propose a new NAS method called TNAS (NAS with trees), which improves search efficiency by explorin... 详细信息
来源: 评论