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检索条件"任意字段=4th International Conference on Computer Vision, Pattern Recognition and Image Processing"

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28th international conference on image processing, computer vision, and pattern recognition, IPCV 2024, and 23rd international conference on Information and Knowledge Engineering, IKE 2024, held as part of the World Congress in computer Science, computer Engineering and Applied Computing, CSCE 2024

28th International Conference on Image Processing, Computer ...

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28th international conference on image processing, computer vision, and pattern recognition, IPCV 2024, and 23rd international conference on Information and Knowledge Engineering, IKE 2024, held as part of the World Congress in computer Science, computer Engineering and Applied Computing, CSCE 2024

ISBN: (纸本)9783031859328

the proceedings contain 28 papers. the special focus in this conference is on image processing, computer vision, and pattern recognition. the topics include: image-Based Seal recognition: Approaches and Challenges in Current Automated Systems;Deep Learning Techniques for Lunar Impact Crater Identification Based on CCD and DEM Data;silicon Wafer Map Defect Classification Using Artificial Intelligence Models;low Light image Enhancement Using Autoencoder-Based Deep Neural Networks;towards Elephants Intelligent Monitoring in Zakouma National Park, Chad;a Review of Multi-modal and Multi-view Applications in Hand-Drawn Sketch images;residential Real Estate image Classification for Property Valuation;Novel Method to Investigate Decay in Rotting Bananas Using RGB Color images;lalitha: A Hand Gesture-Based computer Control System;dishari: A Novel Gesture-Based Educational Application for Specially Challenged People;mobility Anomaly Detection with Intelligent Video Surveillance;Weakly-Supervised Video Anomaly Detection Using Modified Anomaly Score Module and Modified BERT;Contour Detection of Seeds Based on Traditional and Convolutional Neural Network (CNN) Based Algorithms;Early Detection of Lameness in Dairy Cattle Using Activity Data, image Analysis, AI and ML - An Approach for Improved Animal Welfare and Economic Impact;implications for Designing Hawks Detection with Data Augmentation and Network Optimizations;a Review of Detecting and Quantification of Cracks Using Convolutional Neural Networks and image processing Techniques;using Linkage Context for Automated Correction in Unsupervised Entity Resolution;the Rising threat Against Modern Technology in Cybersecurity;an Online Bookstore Design and Implementation;cybersecurity: Sight and Foresight;the Application of Blockchain Technology in the Transmission of Semiconductor Process Recipes;the Use of Social Media and the Internet for the Facilitation of Human Trafficking.

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4th international conference on computer vision and image processing, CVIP 2019

4th International Conference on Computer Vision and Image Pr...

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4th international conference on computer vision and image processing, CVIP 2019

ISBN: (纸本)9789811540141

the proceedings contain 82 papers. the special focus in this conference is on computer vision and image processing. the topics include: A method to generate synthetically warped document image;delaunay triangulation based thinning algorithm for alphabet images;a reduced graph cut approach to interactive object segmentation with flexible user input;A new fuzzy clustering algorithm by incorporating constrained class uncertainty-based entropy for brain MR image segmentation;a novel saliency-based cascaded approach for moving object segmentation;a novel graph theoretic image segmentation technique;automated industrial quality control of pipe stacks using computer vision;extraction and recognition of numerals from machine-printed urdu documents;colour sensitive image segmentation using quaternion Algebra;multimodal query based approach for document image retrieval;transformed directional tri concomitant triplet patterns for image retrieval;encoder decoder based image semantic space creation for clothing items retrieval;feature learning for effective content-based image retrieval;two efficient image bag generators for multi-instance multi-label learning;a comparative study of big mart sales prediction;asymmetric wide tele camera fusion for high fidelity digital zoom;energy based convex set hyperspectral endmember extraction algorithm;fast semantic feature extraction using superpixels for soft segmentation;spatially variant laplacian pyramids for multi-frame exposure fusion;Traffic sign recognition using color and spatial transformer network on GPU embedded development board;unsupervised single-view depth estimation for real time inference;preface;towards ocular recognition through local image descriptors;a novel information theoretic cost measure for filtering based feature selection from hyperspectral images;CNN and RF based classification of brain tumors in MR neurological images.

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4th international conference on computer vision and image processing, CVIP 2019

4th International Conference on Computer Vision and Image Pr...

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4th international conference on computer vision and image processing, CVIP 2019

ISBN: (纸本)9789811540172

the proceedings contain 82 papers. the special focus in this conference is on computer vision and image processing. the topics include: Anomalous event detection and localization using stacked autoencoder;kernel variants of extended locality preserving projection;DNN based adaptive video streaming using combination of supervised learning and reinforcement learning;a deep convolutional neural network based approach to extract and apply photographic transformations;video based deception detection using deep recurrent convolutional neural network;deep demosaicing using ResNet-bottleneck architecture;psychological stress detection using deep convolutional neural networks;Video colorization using CNNs and keyframes extraction: An application in saving bandwidth;image compression for constrained aerial platforms: A unified framework of laplacian and cGAN;image aesthetics assessment using multi channel convolutional neural networks;multi-frame and multi-scale conditional generative adversarial networks for efficient foreground extraction;Ink analysis using CNN-Based transfer learning to detect alteration in handwritten words;ensemble methods on weak classifiers for improved driver distraction detection;DeepRNNetSeg: Deep residual neural network for nuclei segmentation on breast cancer histopathological images;classification of breast tissue density;extreme weather prediction using 2-phase deep learning pipeline;deep hybrid neural networks for facial expression classification;SCDAE: Ethnicity and gender alteration on CLF and UTKFace dataset;manipuri handwritten character recognition by convolutional neural network;design and implementation of human safeguard measure using separable convolutional neural network approach;profession identification using handwritten text images;tackling multiple visual artifacts: Blind image restoration using conditional adversarial networks;Two-Stream CNN architecture for anomalous event detection in real world scenarios;multi-level threat ana

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7th international conference on computer vision and image processing, CVIP 2022

7th International Conference on Computer Vision and Image Pr...

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7th international conference on computer vision and image processing, CVIP 2022

ISBN: (纸本)9783031314162

the proceedings contain 54 papers. the special focus in this conference is on computer vision and image processing. the topics include: CT image Synthesis from MR image Using Edge-Aware Generative Adversarial Network;Modified Scaled-YOLOv4: Soccer Player and Ball Detection for Real Time Implementation;candidNet: A Novel Framework for Candid Moments Detection;cost Efficient Defect Detection in Bangle Industry Using Transfer Learning;single image Dehazing Using Multipath Networks Based on Chain of U-Nets;leveraging Tri-Planar Views and Weighted Average Fusion Technique to Classify Lung Nodule Malignancy;a Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization;deepTemplates: Object Segmentation Using Shape Templates;Data-Centric Approach to SAR-Optical image Translation;MIS-Net: A Deep Residual Network Based on Memorised Pooling Indices for Medical image Segmentation;linear and Non-Linear Filter-based Counter-Forensics Against image Splicing Detection;Ischemic Stroke Lesion Segmentation in CT Perfusion images Using U-Net with Group Convolutions;Multi-generator MD-GAN with Reset Discriminator: A Framework to Handle Non-IID Data;video Colorization Using Modified Autoencoder Generative Adversarial Networks;Real-Time Violence Detection Using Deep Neural Networks and DTW;skin Disease Detection Using Saliency Maps and Segmentation Techniques;an Alternate Approach for Single image Haze Removal Using Path Prediction;Detecting Tropical Cyclones in INSAT-3D Satellite images Using CNN-Based Model;Two Stream RGB-LBP Based Transfer Learning Model for Face Anti-spoofing;Logarithmic Progressive-SMOTE: Oversampling Minorities in Retinal Fundus Multi-disease image Dataset;HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks;sequence recognition in Bharatnatyam Dance;Multi-modality Fusion for Siamese Network Based RGB-T Tracking (mfSiamTrack).

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7th international conference on computer vision and image processing, CVIP 2022

7th International Conference on Computer Vision and Image Pr...

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7th international conference on computer vision and image processing, CVIP 2022

ISBN: (纸本)9783031314063

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4th international conference on Recent Trends in image processing and pattern recognition, RTIP2R 2021

4th International Conference on Recent Trends in Image Proce...

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4th international conference on Recent Trends in image processing and pattern recognition, RTIP2R 2021

ISBN: (纸本)9783031070044

the proceedings contain 33 papers presendted at a virtual meeting. the special focus in this conference is on Recent Trends in image processing and pattern recognition. the topics include: Real-Time Face recognition for Organisational Attendance Systems;Harnessing Sustainable Development in image recognition through No-Code AI Applications: A Comparative Analysis;evaluating Performance of Adam Optimization by Proposing Energy Index;an Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Triplets;early Prediction of Complex Business Processes Using Association Rule Based Mining;A Framework for Masked-image recognition System in COVID-19 Era;A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video;Detection of Male Fertility Using AI-Driven Tools;face Mask Detection Using Deep Hybrid Network Architectures;a Super Feature Transform for Small-Size image Forgery Detection;UHTelHwCC: A Dataset for Telugu Off-line Handwritten Character recognition;inflectional and Derivational Hybrid Stemmer for Sentiment Analysis: A Case Study with Marathi Tweets;adaptive threshold-Based Database Preparation Method for Handwritten image Classification;a Graph-Based Holistic recognition of Handwritten Devanagari Words: An Approach Based on Spectral Graph Embedding;Imagined Object recognition Using EEG-Based Neurological Brain Signals;a Fast and Efficient K-Nearest Neighbor Classifier Using a Convex Envelope;single Channel Speech Enhancement Using Masking Based on Sinusoidal Modeling;extraction of Temporal Features on Fibonacci Space for Audio Based Vehicle Classification;an Empirical Study of vision Transformers for Cervical Precancer Detection;An Improved Technique for Preliminary Diagnosis of COVID-19 via Cough Audio Analysis;agricultural Field Analysis Using Satellite Hyperspectral Data and Autoencoder;Development of NDVI Prediction Model Using Artificial Neural Networks;time Series Forecasting of Soil Moisture Using Sa

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4th international conference on computer Graphics and Digital image processing, CGDIP 2020

4th International Conference on Computer Graphics and Digita...

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4th international conference on computer Graphics and Digital image processing, CGDIP 2020

the proceedings contain 28 papers. the topics discussed include: a command and control system for air defense forces with augmented reality and multimodal interaction;design and production of digital interactive installation for the cultural theme of the belt and road initiative;a smart attendance system for Imam Abdulrahman Bin Faisal University using facial recognition;optimization and high-performance hardware implementation of multipath interference compensation algorithm;high-voltage cable fault analysis base on x-ray image processing;research on path planning of UAV based on ant colony algorithm with angle factor;usability evaluation for user interface design of application for recommender system to enhance the potential of community-based tourism in Phatthalung, thailand;the technology of moving target detection and tracking based on sequential SAR image;a high precision rotating line detection method for the rotation angle measurement based on machine vision;and an image deblurring method based on improved dark channel prior.

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Domain adaptation, Explainability & Fairness in AI for Medical image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

Domain adaptation, Explainability & Fairness in AI for Medic...

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IEEE/CVF conference on computer vision and pattern recognition (CVPR)

作者： Kollias, Dimitrios Arsenos, Anastasios Kollias, Stefanos Queen Mary Univ London London England Natl Tech Univ Athens Athens Greece Natl Infrastruct Res & Technol Athens Greece

ISBN: (纸本)9798350365474

the paper presents the DEF-AI-MIA COV19D Competition, which is organized in the framework of the 'Domain adaptation, Explainability, Fairness in AI for Medical image Analysis (DEF-AI-MIA)' Workshop of the 2024 computer vision and pattern recognition (CVPR) conference. the Competition is the 4th in the series, following the first three Competitions held in the framework of ICCV 2021, ECCV 2022 and ICASSP 2023 international conferences respectively. It includes two Challenges on: i) Covid-19 Detection and ii) Covid-19 Domain Adaptation. the Competition use data from COV19-CT-DB database, which is described in the paper and includes a large number of chest CT scan series. Each chest CT scan series consists of a sequence of 2-D CT slices, the number of which is between 50 and 700. Training, validation and test datasets have been extracted from COV19-CT-DB and provided to the participants in both Challenges. the paper presents the baseline models used in the Challenges and the performance which was obtained respectively, together with the best corresponding performances of the methods submitted and evaluated in the Challenges.

关键词： COV19-CT-DB Covid-19 Detection DEF-AI-MIA Domain Adaptation Medical Imaging

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Research on Few-Shot Object recognition 4

Research on Few-Shot Object Recognition

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4th international conference on Intelligent Communications and Computing

作者： Xieha, Qina Zeng, Anping Xue, Yilan ZIne, Kaixiao Yibin Univ Sch Comp Sci & Technol Yibin Peoples R China

ISBN: (纸本)9798331530372;9798331530365

Object recognition is a crucial task in the realm of computer vision, aimed at identifying and pinpointing a particular object within an image. In practical scenarios, a lack of sufficient training samples frequently hinders the training of deep learning models, presenting a significant challenge. FSOR was created to address this issue. In this paper, the basic concepts, main methods, challenges and latest research progress of few-shot object recognition are reviewed, and its potential in practical application is discussed.

关键词： computer vision object recognition Few-Shot Object recognition

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Few-shot image recognition based on improved siamese neural network 4

Few-shot image recognition based on improved siamese neural ...

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4th international conference on computer vision and pattern Analysis, ICCPA 2024

作者： Li, Pengsong Ji, Zhiyi Zhou, Bingqian Northeast Electric Power University 169 Changchun Road Jilin Jilin China

ISBN: (纸本)9781510682528

To solve the problems caused by insufficient training samples in few-shot image recognition, such as low accuracy and slow speed, an improved siamese network model is designed in the paper. Based on peculiar siamese networks, this paper selects lightweight convolutional neural network MobileNet V2 which is pretrained by transfer learning as the feature extraction part. Meanwhile, a new activation function is designed in this paper. the results of comparative experiments show that the improved siamese neural network can enhance the speed and accuracy of recognition for few-shot datasets. © 2024 SPIE.

关键词： Convolutional neural networks

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