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 ...

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… ...

This paper presents a new convolutional neural network architecture for performing object detection based on RGB-D images. The network is an extension of the Faster-RCNN network where we add an ...

Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

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 ...

Remote sensing object detection with feature-associated convolutional neural networks Jianghao Rao 1,2,3 Tao Wu 1 Hongyun Li 4 Jianlin Zhang 1 Qiliang Bao 3 * Zhenming Peng 2 * 1 Laboratory of ...