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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是281-290 订阅
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Self-Supervised Variable Rate Image Compression using Visual Attention
Self-Supervised Variable Rate Image Compression using Visual...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Space Applicat Ctr Signal & Image Proc Grp Ahmadabad Gujarat India
The recent success of self-supervised learning relies on its ability to learn the representations from self-defined pseudo-labels that are applied to several downstream tasks. Motivated by this ability, we present a d... 详细信息
来源: 评论
Sign Language Production: A Review
Sign Language Production: A Review
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rastgoo, Razieh Kiani, Kourosh Escalera, Sergio Sabokrou, Mohammad Semnan Univ Semnan Iran Inst Res Fundamental Sci IPM Tehran Iran Univ Barcelona Barcelona Spain Comp Vis Ctr Barcelona Spain
Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the hearing-impaired and the hearing commu... 详细信息
来源: 评论
Leveraging combinatorial testing for safety-critical computer vision datasets
Leveraging combinatorial testing for safety-critical compute...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gladisch, Christoph Heinzemann, Christian Herrmann, Martin Woehrle, Matthias Robert Bosch GmbH Corp Res Gerlingen Germany
Deep learning-based approaches have gained popularity for environment perception tasks such as semantic segmentation and object detection from images. However, the different nature of a data-driven deep neural nets (D... 详细信息
来源: 评论
Multistage Fusion of Face Matchers
Multistage Fusion of Face Matchers
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tulyakov, Sergey Sankaran, Nishant Mohan, Deen Setlur, Srirangaraj Govindaraju, Venu Univ Buffalo Ctr Unified Biometr & Sensors Buffalo NY 14260 USA
Multistage, or serial, fusion refers to the algorithms sequentially fusing an increased number of matching results at each step and making decisions about accepting or rejecting the match hypothesis, or going to the n... 详细信息
来源: 评论
RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth
RDONet: Rate-Distortion Optimized Learned Image Compression ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Brand, Fabian Fischer, Kristian Kopte, Alexander Windsheimer, Marc Kaup, Andre Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany
Rate-distortion optimization (RDO) is responsible for large gains in image and video compression. While RDO is a standard tool in traditional image and video coding, it is not yet widely used in novel end-to-end train... 详细信息
来源: 评论
ALPS: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS
ALPS: Adaptive Quantization of Deep Neural Networks with Gen...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Langroudi, Hamed F. Karia, Vedant Carmichael, Zachariah Zyarah, Abdullah Pandit, Tej Gustafson, John L. Kudithipudi, Dhireesha Univ Texas San Antonio Neuromorph AI Lab San Antonio TX 78249 USA Rochester Inst Technol Rochester NY 14623 USA Natl Univ Singapore Singapore Singapore
In this paper, a new adaptive quantization algorithm for generalized posit format is presented, to optimally represent the dynamic range and distribution of deep neural network parameters. Adaptation is achieved by mi... 详细信息
来源: 评论
Edge Guided Progressively Generative Image Outpainting
Edge Guided Progressively Generative Image Outpainting
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lin, Han Pagnucco, Maurice Song, Yang Univ New South Wales Sch Comp Sci & Engn Sydney NSW Australia
Deep-learning based generative models are proven to be capable for achieving excellent results in numerous image processing tasks with a wide range of applications. One significant improvement of deep-learning approac... 详细信息
来源: 评论
Human Perceptions of Sensitive Content in Photos  31
Human Perceptions of Sensitive Content in Photos
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Yifang Troutman, Wyatt Knijnenburg, Bart P. Caine, Kelly Clemson Univ Clemson SC 29631 USA
Before we can obfuscate portions of an image to enhance privacy, we must know what portions are considered sensitive. In this paper, we report results from a study aimed at identifying sensitive content in photos from... 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
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression
Adaptive Bitrate Quantization Scheme Without Codebook for Le...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Loehdefink, Jonas Sitzmann, Jonas Baer, Andreas Fingscheidt, Tim Tech Univ Carolo Wilhelmina Braunschweig Braunschweig Germany
We propose a generic approach to quantization without codebook in learned image compression called onehot max (OHM, O) quantization. It reorganizes the feature space resulting in an additional dimension, along which v... 详细信息
来源: 评论