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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61-70 订阅
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CorrGAN: Input Transformation Technique Against Natural Corruptions
CorrGAN: Input Transformation Technique Against Natural Corr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Haque, Mirazul Budnik, Christof J. Yang, Wei UT Dallas Richardson TX 75080 USA Siemens Corp Technol Princeton NJ USA
Because of the increasing accuracy of Deep Neural Networks (DNNs) on different tasks, a lot of real times systems are utilizing DNNs. These DNNs are vulnerable to adversarial perturbations and corruptions. Specificall... 详细信息
来源: 评论
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bangunharcana, Antyanta Kim, Soohyun Kim, Kyung-Soo Korea Adv Inst Sci & Technol Daejeon South Korea
This work focuses on improving the Conv-GRU-based optical flow update within a DROID-SLAM framework. Prior optical flow models typically follow a UNet or coarse-to-fine architecture in order to extract long-range cros... 详细信息
来源: 评论
On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face recognition
On the Effect of Atmospheric Turbulence in the Feature Space...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Robbins, Wes Boult, Terrance Univ Colorado Colorado Springs CO 80907 USA
When captured over long distances, image quality is degraded by inconsistent refractive indexes in the atmosphere. This effect, known as Atmospheric Turbulence (AT), leads to lower performance for vision-based biometr... 详细信息
来源: 评论
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jie, Shibo Deng, Zhi-Hong Li, Ziheng Peking Univ Sch Artificial Intelligence Beijing Peoples R China
We study a practical setting of continual learning: fine-tuning on a pre-trained model continually. Previous work has found that, when training on new tasks, the features (penultimate layer representations) of previou... 详细信息
来源: 评论
Scene Representation in Bird's-Eye View from Surrounding Cameras with Transformers
Scene Representation in Bird's-Eye View from Surrounding Cam...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yun Zhang, Yu Gong, Zhan Zhu, Hong Inspur Elect Informat Ind Co Ltd Dept AI & HPC Beijing Peoples R China
Scene representation in the bird's-eye-view (BEV) coordinate frame provides a succinct and effective way to understand surrounding environments for autonomous vehicles and robotics. In this work, we present an end... 详细信息
来源: 评论
Neural Image Recolorization for Creative Domains
Neural Image Recolorization for Creative Domains
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Boyi Belongie, Serge Lim, Ser-nam Davis, Abe Cornell Univ Ithaca NY 14853 USA Univ Copenhagen Copenhagen Denmark Meta AI New York NY USA
We present a self-supervised approach to recolorization of images from design-oriented domains. Our approach can recolor images based on image exemplars or target color palettes provided by a user. In contrast with pr... 详细信息
来源: 评论
CoRe: Color Regression for Multicolor Fashion Garments
CoRe: Color Regression for Multicolor Fashion Garments
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Rame, Alexandre Douillard, Arthur Ollion, Charles Sorbonne Univ Paris France Heuritech Paris France
Developing deep networks that analyze fashion garments has many real-world applications. Among all fashion attributes, color is one of the most important yet challenging to detect. Existing approaches are classificati... 详细信息
来源: 评论
Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental Learning
Attenuating Catastrophic Forgetting by Joint Contrastive and...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ferdinand, Quentin Clement, Benoit Oliveau, Quentin Le Chenadec, Gilles Papadakis, Panagiotis Naval Grp Res Cherbourg En Cotentin France ENSTA Bretagne Lab STICC UMR 6285 Brest France IMT Atlantique Lab STICC UMR 6285 Brest France
In class incremental learning, discriminative models are trained to classify images while adapting to new instances and classes incrementally. Training a model to adapt to new classes without total access to previous ... 详细信息
来源: 评论
Cyclical Pruning for Sparse Neural Networks
Cyclical Pruning for Sparse Neural Networks
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Srinivas, Suraj Kuzmin, Andrey Nagel, Markus van Baalen, Mart Skliar, Andrii Blankevoort, Tijmen Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Qualcomm AI Res Amsterdam Netherlands
Current methods for pruning neural network weights iteratively apply magnitude-based pruning on the model weights and re-train the resulting model to recover lost accuracy. In this work, we show that such strategies d... 详细信息
来源: 评论
The Topology and Language of Relationships in the Visual Genome Dataset
The Topology and Language of Relationships in the Visual Gen...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Abou Chacra, David Zelek, John Univ Waterloo Waterloo ON Canada
The Visual Genome Dataset is the de facto standard dataset used in Scene Graph generation. It contains a large collection of images with corresponding object and relationship labels. We explore the lingual aspect of t... 详细信息
来源: 评论