The paper first makes an introduction of the classical methods in object detection, and expounds the relation and difference between the classical methods and the deep learning methods in object ...

Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning ... the object detection capabilities of autonomous vehicles, making navigation through traffic smoother ...

and subsequent layers would detect objects as combinations of these parts. The key aspect of deep learning is that these layers of features are not designed by human engineers: they are learned ...

Fine-tuning a Faster R-CNN object detection model using PyTorch for improved object detection accuracy. This repository provides a Jupyter Notebook that takes you through the steps ... algorithm that ...

This can be realized through the integration of ... 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.

@article{zhang2020swa, title={SWA Object ... learning rates and then average these 12 checkpoints as your final detection model. This potent recipe is inspired by Stochastic Weights Averaging (SWA), ...