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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是161-170 订阅
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Dual Attention Poser: Dual Path Body Tracking Based on Attention
Dual Attention Poser: Dual Path Body Tracking Based on Atten...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Di, Xinhan Dai, Xiaokun Zhang, Xinkang Chen, Xinrong Fudan Universiry Academy for Engineering&Technology China Deepearthgo Fudan University Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention China
Currently, mixed reality head-mounted displays tracking the full body of users is an important human-computer interaction mode through the pose of the head and the hands. Unfortunately, users' virtual representati... 详细信息
来源: 评论
Asynchronous Federated Continual Learning
Asynchronous Federated Continual Learning
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Shenaj, Donald Toldo, Marco Rigon, Alberto Zanuttigh, Pietro University of Padova Italy
The standard class-incremental continual learning setting assumes a set of tasks seen one after the other in a fixed and pre-defined order. This is not very realistic in federated learning environments where each clie... 详细信息
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Localized Latent Updates for Fine-Tuning vision-Language Models
Localized Latent Updates for Fine-Tuning Vision-Language Mod...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Ibing, Moritz Lim, Isaak Kobbelt, Leif Rwth Aachen University Visual Computing Institute Germany
Although massive pre-trained vision-language models like CLIP show impressive generalization capabilities for many tasks, still it often remains necessary to fine-tune them for improved performance on specific dataset... 详细信息
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Ensemble Spatial and Temporal vision Transformer for Action Units Detection
Ensemble Spatial and Temporal Vision Transformer for Action ...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Tu Vu, Ngoc Thong Huynh, Van Nghia Nguyen, Trong Kim, Soo-Hyung Chonnam National University Department of Ai Convergence Korea Republic of
Facial Action Units detection (FAUs) represents a fine-grained classification problem that involves identifying different units on the human face, as defined by the Facial Action Coding System. In this paper, we prese... 详细信息
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Self-Supervised Normalizing Flows for Image Anomaly Detection and Localization
Self-Supervised Normalizing Flows for Image Anomaly Detectio...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Chiu, Li-Ling Lai, Shang-Hong National Tsing Hua University Department of Computer Science Taiwan
Image anomaly detection aims to detect out-of-distribution instances. Most existing methods treat anomaly detection as an unsupervised task because anomalous training data and labels are usually scarce or unavailable.... 详细信息
来源: 评论
Simulating Task-Free Continual Learning Streams from Existing Datasets
Simulating Task-Free Continual Learning Streams from Existin...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Chrysakis, Aristotelis Moens, Marie-Francine KU Leuven Department of Computer Science Leuven Belgium
Task-free continual learning is the subfield of machine learning that focuses on learning online from a stream whose distribution changes continuously over time. In contrast, previous works evaluate task-free continua... 详细信息
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MARRS: Modern Backbones Assisted Co-training for Rapid and Robust Semi-Supervised Domain Adaptation
MARRS: Modern Backbones Assisted Co-training for Rapid and R...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Jain, Saurabh Kumar Das, Sukhendu Indian Institute of Technology Visualization and Perception Lab Department of Computer Science Engineering Madras India
Semi-Supervised Domain Adaptation (SSDA) aims to develop domain invariant models from scarcely labeled target domain in addition to the fully labeled source domain. Current SSDA works are often applied in conjunction ... 详细信息
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Ante-Hoc Generation of Task-Agnostic Interpretation Maps
Ante-Hoc Generation of Task-Agnostic Interpretation Maps
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Akash Guna, R.T. Benitez, Raul Sikha, O.K. Amrita School of Engineering Department of Computer Science and Engineering Coimbatore India Universitat Politècnica de Catalunya BarcelonaTech Departament of Automatic Control Spain
Existing explainability approaches for convolutional neural networks (CNNs) are mainly applied after training (post-hoc) which is generally unreliable. Ante-hoc explainers trained simultaneously with the CNN are more ... 详细信息
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EFE: End-to-end Frame-to-Gaze Estimation
EFE: End-to-end Frame-to-Gaze Estimation
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Balim, Haldun Park, Seonwook Wang, Xi Zhang, Xucong Hilliges, Otmar ETH Zürich Department of Computer Science Switzerland Lunit Inc. Delft University of Technology Computer Vision Lab Netherlands
Despite the recent development of learning-based gaze estimation methods, most methods require one or more eye or face region crops as inputs and produce a gaze direction vector as output. Cropping results in a higher... 详细信息
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TempT: Temporal consistency for Test-time adaptation
TempT: Temporal consistency for Test-time adaptation
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Mutlu, Onur Cezmi Honarmand, Mohammadmahdi Surabhi, Saimourya Wall, Dennis P. Stanford University United States
We introduce Temporal consistency for Test-time adaptation (TempT), a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision... 详细信息
来源: 评论