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IEEE3 a
A Graph Convolutional Neural Network Based Approach for Traffic Monitoring Using Augmented Detections with Optical Flow | IEEE Conference Publication | IEEE Xplore
This paper presents a novel method for Multi-Object Tracking (MOT) using Graph Convolutional Neural Network based feature extraction and end-to-end feature matching for object association. The Graph ...
IEEE3 a
IODTDLCNN: Implementation of Object Detection and Tracking by using Deep Learning based Convolutional Neural Network - IEEE Xplore
Video object detection plays the major role in variety applications including security, remote sensing and hyperspectral. Deep learning-based algorithms have made significant advances in video object ...
Hackaday2 a
How To Roll Your Own Custom Object Detection Neural Network
Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...
GitHub8 mois
GitHub - plaibook/ai-handwritten-flowchart-with-cnn: Recognition of handwritten flowcharts using convolutional neural networks to generate C source code and reconstructed ...
Please, activate your Conda enviroment. $ conda activate handwritten-flowchart-recog; Move to inside repository folder, example: $ cd handwritten-flowchart-with-cnn Type: $ python3 handler.py ...