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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3581-3590 订阅
排序:
ViTA: An Efficient Video-to-Text Algorithm using VLM for RAG-based Video Analysis System
ViTA: An Efficient Video-to-Text Algorithm using VLM for RAG...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Md Adnan Arefeen Biplob Debnath Md Yusuf Sarwar Uddin Srimat Chakradhar NEC Laboratories America University of Missouri-Kansas City
Retrieval-augmented generation (RAG) is used in natural language processing (NLP) to provide query-relevant information in enterprise documents to large language models (LLMs). Such enterprise context enables the LLMs... 详细信息
来源: 评论
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
Dynamic Addition of Noise in a Diffusion Model for Anomaly D...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Justin Tebbe Jawad Tayyub Otto von Guericke University Magdeburg Magdeburg Germany Endress + Hauser Maulburg Germany
Diffusion models have found valuable applications in anomaly detection by capturing the nominal data distribution and identifying anomalies via reconstruction. Despite their merits, they struggle to localize anomalies... 详细信息
来源: 评论
Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma
Glaucoma Precognition: Recognizing Preclinical Visual Functi...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Krati Gupta Anshul Thakur Michael Goldbaum Siamak Yousefi School of Computing & Electrical Engineering Indian Institute of Technology Mandi Mandi India Department of Ophthalmology University of California San Diego USA Department of Ophthalmology University of Tennessee Health Science Center Memphis USA
Deep archetypal analysis (DAA) has recently been proposed as an unsupervised approach for discovering latent structures in data. However, while a few approaches have used classical archetypal analysis (AA), DAA has no... 详细信息
来源: 评论
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
Are NeRFs ready for autonomous driving? Towards closing the ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Carl Lindström Georg Hess Adam Lilja Maryam Fatemi Lars Hammarstrand Christoffer Petersson Lennart Svensson Zenseact Chalmers University of Technology
Neural Radiance Fields (NeRFs) have emerged as promising tools for advancing autonomous driving (AD) research, offering scalable closed-loop simulation and data augmentation capabilities. However, to trust the results... 详细信息
来源: 评论
Multi-modal Arousal and Valence Estimation under Noisy Conditions
Multi-modal Arousal and Valence Estimation under Noisy Condi...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Denis Dresvyanskiy Maxim Markitantov Jiawei Yu Heysem Kaya Alexey Karpov Ulm University Germany ITMO University Russia St. Petersburg Federal Research Center of the Russian Academy of Sciences St. Petersburg Russia Department of Information and Computing Sciences Utrecht University The Netherlands
Automatic emotion recognition has gained significant attention over the past two decades due to the central role that emotions play in human communication. While multi-modal systems demonstrate high performances on la... 详细信息
来源: 评论
Learnable Global Spatio-Temporal Adaptive Aggregation for Bracketing Image Restoration and Enhancement
Learnable Global Spatio-Temporal Adaptive Aggregation for Br...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Xinwei Dai Yuanbo Zhou Xintao Qiu Hui Tang Wei Deng Qingquan Gao Tong Tong Fuzhou University Imperial Vision Technology
Employing specific networks to address different types of degradation often proved to be complex and time-consuming in practical applications. The Bracket Image Restoration and Enhancement (BIRE) aimed to address vari... 详细信息
来源: 评论
An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border
An Accurate Segmentation-Based Scene Text Detector with Cont...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Xi Liu Gaojing Zhou Rui Zhang Xiaolin Wei Meituan-Dianping Group Beijing China
Scene text detection is one of the most challenging problems in computer vision and has attracted great interest. In general, scene text detection methods are divided into two categories: detection-based and segmentat... 详细信息
来源: 评论
Sports Camera Calibration via Synthetic Data
Sports Camera Calibration via Synthetic Data
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jianhui Chen James J. Little University of British Columbia
Calibrating sports cameras is important for autonomous broadcasting and sports analysis. Here we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data. First, we dev... 详细信息
来源: 评论
FaceGenderID: Exploiting Gender Information in DCNNs Face recognition Systems
FaceGenderID: Exploiting Gender Information in DCNNs Face Re...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Ruben Vera-Rodriguez Marta Blazquez Aythami Morales Ester Gonzalez-Sosa João C. Neves Hugo Proença Biometrics and Data Pattern Analytics - BiDA Lab Universidad Autonoma de Madrid Madrid Spain Nokia Bell Labs Madrid Spain University of Beira Interior Covilha Portugal
This paper addresses the effect of gender as a covariate in face verification systems. Even though pre-trained models based on Deep Convolutional Neural Networks (DCNNs), such as VGG-Face or ResNet-50, achieve very hi... 详细信息
来源: 评论
Recognize Anything: A Strong Image Tagging Model
Recognize Anything: A Strong Image Tagging Model
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Youcai Zhang Xinyu Huang Jinyu Ma Zhaoyang Li Zhaochuan Luo Yanchun Xie Yuzhuo Qin Tong Luo Yaqian Li Shilong Liu Yandong Guo Lei Zhang OPPO Research Institute International Digital Economy Academy (IDEA) AI2Robotics
We present the Recognize Anything Model (RAM): a strong foundation model for image tagging. RAM makes a substantial step for foundation models in computer vision, demonstrating the zero-shot ability to recognize any c... 详细信息
来源: 评论