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

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

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 ...

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 ...

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 ...

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 ...

But in the domain of object detection, ... Thanks to advances in convolutional neural networks and deep learning since then, computer vision has grown by leaps and bounds.

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 ...

Same as 5900-14. Specialization: Standalone course Instructor: Dr. Ioana Fleming, Instructor of Computer Science and Co-Associate Chair for Undergraduate Education Prior knowledge needed: Basic ...