An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Facebook AI researchers claim they created the first object detection model with the Transformer neural network architecture typically used for NLP.

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...