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检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"
1005 条 记 录,以下是601-610 订阅
排序:
A Novel Self-Learning Network Integrating Contrastive Learning, Perceptual Learning and Masked image Modelling  15
A Novel Self-Learning Network Integrating Contrastive Learni...
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15th International conference on graphics and image processing, ICGIP 2023
作者: Chen, Yingxian Yang, Rui Lan, Rushi Guangxi Key Laboratory Image and Graphic Intelligent Processing Guilin University of Electronic Technology China
Unsupervised learning methods in computer vision have achieved remarkable success, exceeding the performance of supervised learning methods. It is noteworthy that current unsupervised learning methods share certain si... 详细信息
来源: 评论
Enhancing Video Surveillance with Deep Learning-Based Real-Time Handgun Detection and Tracking  1
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8th International conference on computer vision and image processing (CVIP)
作者: Yadav, Pavinder Gupta, Nidhi Sharma, Pawan Kumar Natl Inst Technol Hamirpur Hamirpur 177005 Himachal Prades India Natl Inst Technol Kurukshetra Kurukshetra 136119 Haryana India
Handguns, pistols, and revolvers are commonly used in today's world for committing criminal acts, requiring the need for effective surveillance and control systems. However, despite the advancement of security sys... 详细信息
来源: 评论
Autism Spectrum Disorder Classification of Facial images Using Xception Model and Transfer Learning with image Augmentation  29th
Autism Spectrum Disorder Classification of Facial Images Usi...
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29th International conference on Neural Information processing
作者: Shrivastava, Trapti Singh, Vrijendra Agrawal, Anupam Indian Inst Informat Technol Dept Informat Technol Allahabad 211015 Uttar Pradesh India
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the neurology of an autistic person is severely hampered. A child with autism has difficulty answering his name, avoids eye contact, and cannot ... 详细信息
来源: 评论
Multichannel texture image segmentation using local feature fitting based variational active contours  12
Multichannel texture image segmentation using local feature ...
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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012
作者: Prasath, V. B. Surya Palaniappan, K. Seetharaman, Guna Dept. of Computer Science University of Missouri Columbia MO United States Air Force Research Laboratory Rome NY United States
We study an efficient texture image segmentation model for multichannel images using a local feature fitting based active contours scheme. Using a chromaticity-brightness decomposition, we propose a flexible segmentat... 详细信息
来源: 评论
A Dataset and Model for Crossing indian Roads  13
A Dataset and Model for Crossing Indian Roads
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13th indian conference on computer vision, graphics, and image processing, ICVGIP 2022
作者: Brahmbhatt, Siddhi G H Patel College of Engineering and Technology Vallabh Vidyanagar Gujarat Anand India
Roads in medium-sized indian towns often have lots of traffic but no (or disregarded) traffic stops. this makes it hard for the blind to cross roads safely, because vision is crucial to determine when crossing is safe... 详细信息
来源: 评论
MSDNet: A novel multi-stage progressive image dehazing network  21
MSDNet: A novel multi-stage progressive image dehazing netwo...
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12th indian conference on computer vision, graphics and image processing, ICVGIP 2021
作者: Manu, Chippy M. Sreeni, K.G. Computer Vision Lab Dept. Electronics and Communication College of Engineering Kerala Trivandrum India
this paper presents a novel algorithm to dehaze a given hazy input image using a Multi-Stage progressive image Dehazing Network (MSDNet) architecture. the proposed multi-stage strategy framework splits the challenge o... 详细信息
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Towards interpretable facial emotion recognition  21
Towards interpretable facial emotion recognition
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12th indian conference on computer vision, graphics and image processing, ICVGIP 2021
作者: Malik, Sarthak Kumar, Puneet Raman, Balasubramanian Indian Institute of Technology Roorkee India
In this paper, an interpretable deep-learning-based system has been proposed for facial emotion recognition. A novel approach to interpret the proposed system's results, Divide & Conquer based Shapley additive... 详细信息
来源: 评论
Improved weighted histogram for illumination invariant mean-shift tracking  14
Improved weighted histogram for illumination invariant mean-...
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9th indian conference on computer vision, graphics and image processing, ICVGIP 2014
作者: Phadke, Gargi Velmurugan, Rajbabu Indian Institute of Technology Bombay Mumbai400076 India
Object tracking is a critical task in surveillance and activity analysis. One of the major issues in visual target tracking is variation in illumination. In this paper, we propose an improved weighted histogram approa... 详细信息
来源: 评论
indian Plant Recognition in the Wild  7th
Indian Plant Recognition in the Wild
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7th National conference on computer vision, Pattern Recognition, image processing, and graphics, NCVPRIPG 2019
作者: Muthireddy, Vamsidhar Jawahar, C.V. IIIT Hyderabad Hyderabad India
Conservation efforts to protect biodiversity rely on an accurate identification process. In the case of plant identification, traditional methods used are manual, time-consuming and require a degree of expertise to op... 详细信息
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Voxel-based Morphometry and Minimum Redundancy Maximum Relevance Method for Classification of Parkinson's Disease and Controls from T1-Weighted MRI  16
Voxel-based Morphometry and Minimum Redundancy Maximum Relev...
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10th indian conference on computer vision, graphics and image processing (ICVGIP)
作者: Rana, Bharti Juneja, Akanksha Saxena, Mohit Gudwani, Sunita Kumaran, S. Senthil Agrawal, R. K. Behari, Madhuri Jawaharlal Nehru Univ Sch Comp & Syst Sci Delhi India Case Western Reserve Univ Dept Neurol Case Med Ctr Cleveland OH 44106 USA All India Inst Med Sci Dept NMR Delhi India All India Inst Med Sci Dept Neurol Delhi India
Parkinson's disease (PD) is a neurodegenerative disorder, which needs to be accurately diagnosed in early stage. Voxel-based morphometry (VBM) has been extensively utilized to determine focal changes between PD pa... 详细信息
来源: 评论