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检索条件"任意字段=2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021"
3855 条 记 录,以下是31-40 订阅
排序:
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mundt, Martin Pliushch, Iuliia Ramesh, Visvanathan Goethe Univ Frankfurt Germany
In this paper we analyze the classification performance of neural network structures without parametric inference. Making use of neural architecture search, we empirically demonstrate that it is possible to find rando... 详细信息
来源: 评论
Perceptual Image Compression using Relativistic Average Least Squares GANs
Perceptual Image Compression using Relativistic Average Leas...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cheng, Zhengxue Fu, Ting Hu, Jiapeng Guo, Li Wang, Shihao Zhao, Xiongxin Zhou, Dajiang Song, Yang Ant Grp Hangzhou Peoples R China
In this work, we provide a detailed description on our submitted methods ANTxNN and ANTxNN SSIM to Workshop and Challenge on Learned Image Compression (CLIC) 2021. We propose to incorporate Relativistic average Least ... 详细信息
来源: 评论
Shadow Removal with Paired and Unpaired Learning
Shadow Removal with Paired and Unpaired Learning
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Vasluianu, Florin-Alexandru Romero, Andres Van Gool, Luc Timofte, Radu Swiss Fed Inst Technol Zurich Switzerland
Shadow removal is an important computer vision task aiming at the detection and successful removal of the shadow produced by an occluded light source and a photorealistic restoration of the image contents. Decades of ... 详细信息
来源: 评论
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
Revisiting The Evaluation of Class Activation Mapping for Ex...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Poppi, Samuele Cornia, Marcella Baraldi, Lorenzo Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy
As the request for deep learning solutions increases, the need for explainability is even more fundamental. In this setting, particular attention has been given to visualization techniques, that try to attribute the r... 详细信息
来源: 评论
Towards Domain-Specific Explainable AI: Model Interpretation of a Skin Image Classifier using a Human Approach
Towards Domain-Specific Explainable AI: Model Interpretation...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Stieler, Fabian Rabe, Fabian Bauer, Bernhard Univ Augsburg Augsburg Germany
Machine Learning models have started to outperform medical experts in some classification tasks. Meanwhile, the question of how these classifiers produce certain results is attracting increasing research attention. Cu... 详细信息
来源: 评论
Scalable and Explainable Outfit Generation
Scalable and Explainable Outfit Generation
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lorbert, Alexander Neiman, David Poznanski, Arik Oks, Eduard Davis, Larry Amazon Seattle WA 98109 USA
We present an end-to-end system for learning outfit recommendations. The core problem we address is how a customer can receive clothing/accessory recommendations based on a current outfit and what type of item the cus... 详细信息
来源: 评论
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Ima...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fuentes, Anibal Saavedra, Jose M. Impresee Inc 600 Calif St San Francisco CA 94108 USA
Architectures based on siamese networks with triplet loss have shown outstanding performance on the image-based similarity search problem. This approach attempts to discriminate between positive (relevant) and negativ... 详细信息
来源: 评论
Contrastive Learning for Natural Language-Based Vehicle Retrieval
Contrastive Learning for Natural Language-Based Vehicle Retr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Tam Minh Nguyen Quang Huu Pham Linh Bao Doan Hoang Viet Trinh Viet-Anh Nguyen Viet-Hoang Phan Sun Asterisk Inc R&D Lab AI Res Team Tokyo Japan Hanoi Univ Sci & Technol Hanoi Vietnam
AI City Challenge 2021 Task 5: The Natural Language-Based Vehicle Tracking is a Natural Language-based Vehicle Retrieval task, which requires retrieving a single-camera track using a set of three natural language desc... 详细信息
来源: 评论
Filter Distribution Templates in Convolutional Networks for Image Classification Tasks
Filter Distribution Templates in Convolutional Networks for ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Izquierdo-Cordova, Ramon Mayol-Cuevas, Walterio Univ Bristol Dept Comp Sci Bristol Avon England
Neural network designers have reached progressive accuracy by increasing models depth, introducing new layer types and discovering new combinations of layers. A common element in many architectures is the distribution... 详细信息
来源: 评论
Feedback control of event cameras
Feedback control of event cameras
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Delbruck, Tobi Graca, Rui Paluch, Marcin UZH ETH Zurich Inst Neuroinformat Zurich Switzerland
Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parame... 详细信息
来源: 评论