Learn about the advantages and disadvantages of cross-entropy, IoU, focal loss, and GIoU for object detection in deep learning.

Deep tech Here’s how deep learning helps computers detect objects From autonomous driving to healthcare, object detection is used for many things June 28, 2021 - 2:27 pm ...

Learn what YOLO is, how it works, and what are the latest developments and challenges in this popular deep learning method for object detection.

In this project, a deep learning-based approach is used for lane detection on semi-urban roads. The proposed model consists of two main components: a CNN architecture, ResNet101, for semantic ...

Bolstering the safety of self-driving cars with a deep learning-based object detection system Date: December 12, 2022 Source: Incheon National University Summary: Self-driving cars need to ...

Future integration of the deep learning algorithm into standard system software would allow factory engineers to train networks that could then be run locally for inspection. There are many more ...

Object-Detection-Deep-Reinforcement-Learning COMP 767 Final Project by Manoosh Samiei and Ruofeng Li (2020/04/20) Kaggle.json key file Since the number of files in folders of VOC 2012 dataset is very ...

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on ...

As a major breakthrough in artificial intelligence, deep learning has achieved impressive success on solving grand challenges in many fields including speech recognition, natural language processing, ...