相关实验视频

Updated: Jul 16, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

使用多流数据和潜在空间注意力的道路场景细分策略的统一

August J Naudé1, Herman C Myburgh1

  • 1Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

这项研究引入了一个新的道路场景细分系统,使用深度学习用于自动驾驶汽车. 这种新的方法在识别道路要素方面实现了高精度,提高了自动驾驶的安全性.

关键词:
数据融合数据融合双重注意力机制 双重关注机制了解道路场景,了解道路场景的理解.场景细分 场景细分自动驾驶的自动驾驶.

更多相关视频

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

440
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.7K

相关概念视频

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
179