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 ...

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.

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 ...

Figure 2: Vision processors are based on heterogeneous processing units, including scalar and Very Long Instruction Word (VLIW) vector DSP units. Detecting a pedestrian in front of a car is part of a ...

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.

These are called bounding boxes in Computer Vision and the task that can predict them is called object detection. Similar to any supervised deep learning task, object detection algorithms require ...

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 ...