The success of deep-learning models for 2D object recognition was driven in part by the availability of large-scale high-quality datasets such as ImageNet and COCO.

Bolstering the safety of self-driving cars with a deep learning-based object detection system Date: December 13, 2022 Source: Incheon National University Summary: Self-driving cars need to ...

This week, Microsoft Research announced its newest deep learning project had outperformed humans in a test to identify objects in digital images.

3D reconstruction uses an end-to-end deep learning framework that takes a single RGB color image as input and converts the 2D image to a 3D mesh model in a more desirable camera coordinate format.

(Mean average precision (mAP) is a metric for evaluating object detection in deep learning.) This achievement is hugely valuable for LiDAR perception as well as 3D mapping for autonomous driving.