Deep Learning for Image Analysis and Object Detection Publication Trend The graph below shows the total number of publications each year in Deep Learning for Image Analysis and Object Detection.

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

Korea have now developed a smart IoT-enabled end-to-end system for 3D object detection in real time based on deep learning and specialized for autonomous driving situations. "For autonomous ...

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 ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection promise unprecedented accuracy in real-world ...

Figure 5: Components required for graph training The deployment – or ... embedded vision and deep learning technology will keep up. Object detection has evolved from small-scale identification to full ...

object detection vs. semantic segmentation (credit: codebasics). The complexity of convolutional neural networks (CNN), the deep learning architecture commonly used in computer vision tasks ...

they argue for "blending powerful deep learning approaches with structured representations," and their solution is something called a "graph network." These are models of collections of objects ...