Above: Architecture of convolutional neural ... In the past few years, deep learning object detection has come a long way, evolving from a patchwork of different components to a single neural ...

Architecture of convolutional neural ... In the past few years, deep learning object detection has come a long way, evolving from a patchwork of different components to a single neural network ...

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

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 ...

Methods based on deep learning (convolutional networks) have become the state-of-the-art in object ... detection algorithms [1]. 2.1 Building and Installing Caffe* Optimized for Intel ...

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 ...

Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection ... of machine learning for making some ...