Faster R-CNN, introduced in 2016, solves the final piece of the object-detection puzzle by integrating the region extraction mechanism into the object detection network.

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

Abstract: “This paper introduces a highly flexible, quantized, memory-efficient, and ultra-lightweight object detection network, called TinyissimoYOLO. It aims to enable object detection on ...

Popular CNN graphs for real-time object detection – which include classification and localization – are YOLO v2, Faster R-CNN, and Single shot multibox detector (SSD). CNN object detection graphs can ...

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...