Object detection is used in many different ... One of the key components of most deep learning–based computer vision applications is the convolutional neural network (CNN).

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Deep neural ... component of many computer vision applications. Among the key problems neural networks can solve is detecting and localizing objects in images. Object detection is used in many ...

Learn More Computer ... 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 ...

More Objects (FOMO), the new deep learning architecture can unlock new computer vision applications. Most object-detection deep learning models have memory and computation requirements that are ...

Object detection and recognition ... factors of the DSP MAC operations. Deep learning algorithms for object recognition are raising the computational bar once more, and that requires a new class of ...

The study’s findings are highly relevant to rice-producing regions worldwide, where pests like stem borers, planthoppers, and ...

Siwei Lyu is an expert on machine learning and digital media, including the detection of ... In the realm of computer vision, Lyu has worked on projects that include improving the way computers ...