In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks. One of the key components of most deep learning–based ...

Today, many applications use object-detection networks as one of their main components. It’s in your phone, computer, car, camera, and more.

As deep learning continued to develop, it became clear that it could solve certain CV problems extremely well. Challenges like object detection and classification were especially ripe for the deep ...

In addition to the high quality of CNN, the main advantage over traditional object detection algorithms is that CNN is very adaptive. It enables quick tuning to new objects without changing the ...

Deep tech; New to computer vision and medical ... Since deep learning models typically rely on large volumes of annotated data to automatically ... Point cloud segmentation for object detection.

The graph below shows the total number of publications each year in Eggshell Crack Detection Using Computer Vision and Deep Learning. References [1] Defective egg detection based on deep features ...

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 ...

This growth is possible thanks to advancements in deep learning architectures, better machine learning methods, modern custom hardware accelerators and the advent of 5G technology.

Siwei Lyu is an expert on machine learning and digital media, including the detection of deepfakes and other digital forgeries. Lyu’s research has included the development of technologies for spotting ...