Object detection models are much more complex ... under 100 kilobytes and making it better at transfer learning.

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

By merging multiple models, the new method enables the detection of objects without the generation of ... model using existing datasets by utilizing machine learning techniques such as Transfer ...

Engineers develop novel techniques to trick object detection systems Project to test and improve deep-learning algorithms for enhanced security Date: April 4, 2019 Source: Southwest Research ...

introducing a highly adaptable fault detection method that ensures systems operate at peak efficiency with reduced energy consumption. By leveraging advanced transfer learning techniques ...

Korea have now developed a smart IoT-enabled end-to-end system for 3D object detection in real time based on deep learning and specialized for autonomous driving situations. "For autonomous ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods ...

In brief: Thanks to machine learning, object detection has come a long way in recent years, but most models still perform best on low-resolution video images. Now, researchers at Carnegie Mellon ...