These models behave differently in network architecture, training strategy, and optimization function. In this paper, we provide a review of deep learning-based object detection frameworks. Our review ...

The main idea behind image object detection is to recognize the object on the ground with help of a high-resolution camera. The tools like Nvidia CUDA, OpenCV v4, and YOLOv4 are used for training the ...

Here’s how deep learning helps computers detect objects From autonomous driving to healthcare, object detection is used for many things June 28, 2021 - 2:27 pm ...

An object detection using OpenCV and the MobileNet SSD (Single Shot MultiBox Detector) model, which is a pre-trained deep learning model for detecting objects in images or video streams. The setup ...

New adversarial techniques developed by engineers can make objects 'invisible' to image detection systems that use deep-learning algorithms. These techniques can also trick systems into thinking ...

Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...

There are many more potentially valuable applications for deep learning object detection in SMT and semiconductor applications that we are actively pursuing. For more information about this ...

These models behave differently in network architecture, training strategy, and optimization function. In this paper, we provide a review of deep learning-based object detection frameworks. Our review ...