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 ...

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.

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 ...

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...

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 ...