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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"
8966 条 记 录,以下是941-950 订阅
Latent-based Diffusion Model for Long-tailed recognition
Latent-based Diffusion Model for Long-tailed Recognition
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Pengxiao Han Changkun Ye Jieming Zhou Jing Zhang Jie Hong Xuesong Li Australian National University CSIRO Australia
Long-tailed imbalance distribution is a common issue in practical computer vision applications. Previous works proposed methods to address this problem, which can be categorized into several classes: re-sampling, re-w... 详细信息
来源: 评论
Training Deep Generative Models in Highly Incomplete Data Scenarios with Prior Regularization
Training Deep Generative Models in Highly Incomplete Data Sc...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bernal, Edgar A. Univ Rochester Rochester Data Sci Consortium Rochester NY 14627 USA
Deep generative frameworks including GANs and normalizing flow models have proven successful at filling in missing values in partially observed data samples by effectively learning -either explicitly or implicitly- co... 详细信息
来源: 评论
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption
Rethinking Ensemble-Distillation for Semantic Segmentation B...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chao, Chen-Hao Cheng, Bo-Wun Lee, Chun-Yi Natl Tsing Hua Univ Dept Comp Sci Elsa Lab Hsinchu Taiwan
Recent researches on unsupervised domain adaptation (UDA) have demonstrated that end-to-end ensemble learning frameworks serve as a compelling option for UDA tasks. Nevertheless, these end-to-end ensemble learning met... 详细信息
来源: 评论
Width transfer: on the (in)variance of width optimization
Width transfer: on the (in)variance of width optimization
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chin, Ting-Wu Marculescu, Diana Morcos, Ari S. Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Texas Austin Austin TX 78712 USA Facebook AI Res Menlo Pk CA USA
Optimizing the channel counts for different layers of a CNN has shown great promise in improving the efficiency of CNNs at test-time. However, these methods often introduce large computational overhead (e.g., an addit... 详细信息
来源: 评论
Real-time and Robust System for Counting Movement-Specific Vehicle at Crowded Intersections
Real-time and Robust System for Counting Movement-Specific V...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vu-Hoang Tran Le-Hoai-Hieu Dang Chinh-Nghiep Nguyen Ngoc-Hoang-Lam Le Khanh-Phong Bui Lam-Truong Dam Quang-Thang Le Dinh-Hiep Huynh Ho Chi Minh City Univ Technol & Educ Ho Chi Minh City Vietnam
In order to reduce traffic congestion and improve the efficiency of traffic light signals, intelligent traffic systems are being developed by researchers, and vehicle counting is one of the key techniques in the syste... 详细信息
来源: 评论
Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies
Do Deepfakes Feel Emotions? A Semantic Approach to Detecting...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hosler, Brian Salvi, Davide Murray, Anthony Antonacci, Fabio Bestagini, Paolo Tubaro, Stefano Stamm, Matthew C. Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy
Recent advances in deep learning and computer vision have spawned a new class of media forgeries known as deepfakes, which typically consist of artificially generated human faces or voices. The creation and distributi... 详细信息
来源: 评论
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertain...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Ziliang Xiong Arvi Jonnarth Abdelrahman Eldesokey Joakim Johnander Bastian Wandt Per-Erik Forssén Department of Electrical Engineering Computer Vision Laboratory LiU Sweden Husqvarna Group Huskvarna Sweden Visual Computing Center KAUST Saudi Arabia Zenseact Sweden
computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty. We study regression from images to parameter values and here it is common to detect uncertainty by p... 详细信息
来源: 评论
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bhat, Goutam Danelljan, Martin Timofte, Radu Akita, Kazutoshi Cho, Wooyeong Fan, Haoqiang Jia, Lanpeng Kim, Daeshik Lecouat, Bruno Li, Youwei Liu, Shuaicheng Liu, Ziluan Luo, Ziwei Maeda, Takahiro Mairal, Julien Micheloni, Christian Mo, Xuan Oba, Takeru Ostyakov, Pavel Ponce, Jean Son, Sanghyeok Sun, Jian Ukita, Norimichi Muhammad, Rao Yan, Umer Youliang Yu, Lei Zhussip, Magauiya Zou, Xueyi Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Huawei Noahs Ark Lab Hong Kong Peoples R China Huawei CBG AITA Hong Kong Peoples R China Megvii Technol Beijing Peoples R China INRIA Rocquencourt France Toyota Technol Inst Toyota Japan Univ Udine Udine Italy KAIST Korea Adv Inst Sci & Technol Daejeon South Korea
This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contain... 详细信息
来源: 评论
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images i...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Groh, Matthew Harris, Caleb Soenksen, Luis Lau, Felix Han, Rachel Kim, Aerin Koochek, Arash Badri, Omar MIT Media Lab Cambridge MA 02139 USA Harvard Univ MIT Cambridge MA 02139 USA Scale San Francisco CA USA Banner Hlth Phoenix AZ USA Northeast Dermatol Associates Beverly MA USA
How does the accuracy of deep neural network models trained to classify clinical images of skin conditions vary across skin color? While recent studies demonstrate computer vision models can serve as a useful decision... 详细信息
来源: 评论
A Spacecraft Dataset for Detection, Segmentation and Parts recognition
A Spacecraft Dataset for Detection, Segmentation and Parts R...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hoang Anh Dung Chen, Bo Chin, Tat-Jun Univ Adelaide Adelaide SA Australia
Virtually all aspects of modern life depend on space technology. Thanks to the great advancement of computer vision in general and deep learning-based techniques in particular, over the decades, the world witnessed th... 详细信息
来源: 评论