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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是3721-3730 订阅
排序:
Fusing Visual Saliency for Material recognition  31
Fusing Visual Saliency for Material Recognition
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Qi, Lin Xu, Ying Shang, Xiaowei Dong, Junyu Ocean Univ China 238 Songling Rd Qingdao 266100 Peoples R China
Material recognition is researched in both computer vision and vision science fields. In this paper, we investigated how humans observe material images and found the eye fixation information improves the performance o... 详细信息
来源: 评论
Land Cover Classification from Satellite Imagery With U-Net and Lovasz-Softmax Loss  31
Land Cover Classification from Satellite Imagery With U-Net ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Rakhlin, Alexander Davydow, Alex Nikolenko, Sergey Neuromat OU EE-10111 Tallinn Estonia
The land cover classification task of the DeepGlohe Challenge presents significant obstacles even to state of the art segmentation models due to a small amount of data, incomplete and sometimes incorrect labeling, and... 详细信息
来源: 评论
Comparison of deep transfer learning strategies for digital pathology  31
Comparison of deep transfer learning strategies for digital ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mormont, Romain Geurts, Pierre Maree, Raphael Univ Liege Liege Belgium
In this paper, we study deep transfer learning as a way of overcoming object recognition challenges encountered in the field of digital pathology. Through several experiments, we investigate various uses of pre-traine... 详细信息
来源: 评论
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Peeking into the Future: Predicting Future Person Activities...
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Junwei Liang Lu Jiang Juan Carlos Niebles Alexander Hauptmann Li Fei-Fei Carnegie Mellon University Google AI Stanford University
Deciphering human behaviors to predict their future paths/trajectories and what they would do from videos is important in many applications. With the advancement in deep learning, systems now are able to analyze an un... 详细信息
来源: 评论
Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery  31
Stacked U-Nets for Ground Material Segmentation in Remote Se...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ghosh, Arthita Ehrlich, Max Shah, Sohil Davis, Larry Chellappa, Rama Univ Maryland College Pk MD 20742 USA
We present a semantic segmentation algorithm for RGB remote sensing images. Our method is based on the Dilated Stacked U-Nets architecture. This state-of-the-art method has been shown to have good performance in other... 详细信息
来源: 评论
Human Action Adverb recognition: ADHA Dataset and A Three-Stream Hybrid Model  31
Human Action Adverb Recognition: ADHA Dataset and A Three-St...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pang, Bo Zha, Kaiwen Lu, Cewu Shanghai Jiao Tong Univ Shanghai Peoples R China
We introduce the first benchmark for a new problem - recognizing human action adverbs (HAA): "Adverbs Describing Human Actions" (ADHA). We demonstrate some key features of ADHA: a semantically complete set o... 详细信息
来源: 评论
ViDeNN: Deep Blind Video Denoising
ViDeNN: Deep Blind Video Denoising
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ieee/cvf conference on computer vision and pattern recognition workshops
作者: Michele Claus Jan van Gemert Computer Vision lab Delft University of Technology
We propose ViDeNN: a CNN for Video Denoising without prior knowledge on the noise distribution (blind denoising). The CNN architecture uses a combination of spatial and temporal filtering, learning to spatially denois... 详细信息
来源: 评论
A Holistic Framework for Addressing the World using Machine Learning  31
A Holistic Framework for Addressing the World using Machine ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Demir, Ilke Hughes, Forest Raj, Aman Dhruv, Kaunil Raskar, Ramesh Muddala, Suryanarayana Murthy Garg, Sanyam Doo, Barrett Facebook Menlo Pk CA 94025 USA MIT Media Lab Cambridge MA 02139 USA
Millions of people are disconnected from basic services due to lack of adequate addressing. We propose an automatic generative algorithm to create street addresses from satellite imagery. Our addressing scheme is cohe... 详细信息
来源: 评论
Cross-domain fashion image retrieval  31
Cross-domain fashion image retrieval
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gajic, Bojana Baldrich, Ramon Univ Autonoma Barcelona Comp Vis Ctr Edifici O UAB Bellaterra Spain
Cross domain image retrieval is a challenging task that implies matching images from one domain to their pairs from another domain. In this paper we focus on fashion image retrieval, which involves matching an image o... 详细信息
来源: 评论
Notice of Removal: Robust Image Colorization Using Self Attention Based Progressive Generative Adversarial Network
Notice of Removal: Robust Image Colorization Using Self Atte...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Manoj Sharma Megh Makwana Avinash Upadhyay Ajay Pratap Singh Anuj Badhwar Akkshita Trivedi Anil Saini Santanu Chaudhury CSIR-CEERI Pilani CCS Computer Pvt Ltd A and N Telecom Circle BSNL DTU Delhi IIT Jodhpur
Removed.
来源: 评论