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检索条件"任意字段=2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021"
11423 条 记 录,以下是261-270 订阅
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Large-capacity Image Steganography Based on Invertible Neural Networks
Large-capacity Image Steganography Based on Invertible Neura...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lu, Shao-Ping Wang, Rong Zhong, Tao Rosin, Paul L. Nankai Univ CS TKLNDST Tianjin Peoples R China Cardiff Univ Sch Comp Sci & Informat Cardiff Wales
Many attempts have been made to hide information in images, where one main challenge is how to increase the payload capacity without the container image being detected as containing a message. In this paper, we propos... 详细信息
来源: 评论
Estimating (and fixing) the Effect of Face Obfuscation in Video recognition
Estimating (and <i>fixing</i>) the Effect of Face Obfuscatio...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tomei, Matteo Baraldi, Lorenzo Bronzin, Simone Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy Metaliquid Srl Milan Italy
Recent research has shown that faces can be obfuscated in large-scale datasets with a minimal performance impact on image classification and downstream tasks like object recognition. In this paper, we investigate the ... 详细信息
来源: 评论
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervi...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Taherkhani, Fariborz Dabouei, Ali Soleymani, Sobhan Dawson, Jeremy Nasrabadi, Nasser M. West Virginia Univ Morgantown WV 26506 USA
The goal is to use Wasserstein metric to provide pseudo labels for the unlabeled images to train a Convolutional Neural Networks (CNN) in a Semi-Supervised Learning (SSL) manner for the classification task. The basic ... 详细信息
来源: 评论
PLOP: Learning without Forgetting for Continual Semantic Segmentation
PLOP: Learning without Forgetting for Continual Semantic Seg...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Douillard, Arthur Chen, Yifu Dapogny, Arnaud Cord, Matthieu Sorbonne Univ Paris France Heuritech Paris France Datakalab Paris France Valeoai Paris France
Deep learning approaches are nowadays ubiquitously used to tackle computer vision tasks such as semantic segmentation, requiring large datasets and substantial computational power. Continual learning for semantic segm... 详细信息
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A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
A Realistic Evaluation of Semi-Supervised Learning for Fine-...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Su, Jong-Chyi Cheng, Zezhou Maji, Subhransu Univ Massachusetts Amherst Amherst MA 01003 USA
We evaluate the effectiveness of semi-supervised learning (SSL) on a realistic benchmark where data exhibits considerable class imbalance and contains images from novel classes. Our benchmark consists of two fine-grai... 详细信息
来源: 评论
Behavior-Driven Synthesis of Human Dynamics
Behavior-Driven Synthesis of Human Dynamics
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Blattmann, Andreas Milbich, Timo Dorkenwald, Michael Ommer, Bjoern Heidelberg Univ Heidelberg Collaboratory Image Proc IWR Heidelberg Germany
Generating and representing human behavior are of major importance for various computer vision applications. Commonly, human video synthesis represents behavior as sequences of postures while directly predicting their... 详细信息
来源: 评论
Understanding Object Dynamics for Interactive Image-to-Video Synthesis
Understanding Object Dynamics for Interactive Image-to-Video...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Blattmann, Andreas Milbich, Timo Dorkenwald, Michael Ommer, Bjoern Heidelberg Univ Interdisciplinary Ctr Sci Comp HCI Heidelberg Germany
What would be the effect of locally poking a static scene? We present an approach that learns naturally-looking global articulations caused by a local manipulation at a pixel level. Training requires only videos of mo... 详细信息
来源: 评论
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
Lips Don't Lie: A Generalisable and Robust Approach to Face ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Haliassos, Alexandros Vougioukas, Konstantinos Petridis, Stavros Pantic, Maja Imperial Coll London London England Facebook London London England
Although current deep learning-based face forgery detectors achieve impressive performance in constrained scenarios, they are vulnerable to samples created by unseen manipulation methods. Some recent works show improv... 详细信息
来源: 评论
Continuous Face Aging via Self-estimated Residual Age Embedding
Continuous Face Aging via Self-estimated Residual Age Embedd...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Zeqi Jiang, Ruowei Aarabi, Parham ModiFace Toronto ON Canada
Face synthesis, including face aging, in particular, has been one of the major topics that witnessed a substantial improvement in image fidelity by using generative adversarial networks (GANs). Most existing face agin... 详细信息
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DAP: Detection-Aware Pre-training with Weak Supervision
DAP: Detection-Aware Pre-training with Weak Supervision
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhong, Yuanyi Wang, Jianfeng Wang, Lijuan Peng, Jian Wang, Yu-Xiong Zhang, Lei Univ Illinois Urbana IL 61801 USA Microsoft Redmond WA USA
This paper presents a detection-aware pre-training (DAP) approach, which leverages only weakly-labeled classification-style datasets (e.g., ImageNet) for pre-training, but is specifically tailored to benefit object de... 详细信息
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