相关实验视频

Updated: Jul 2, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

537

语义和几何意识的日夜图像翻译网络

Geonkyu Bang1, Jinho Lee1, Yuki Endo2

  • 1Emerging Design and Informatics Course, Graduate School of Interdisciplinary Information Studies, The University of Tokyo, 4 Chome-6-1 Komaba, Meguro-ku, Tokyo 153-0041, Japan.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括

这项研究引入了一个无监督的网络,用于日夜图像转换,改善在恶劣天气下自动驾驶的感知. 该方法使用语义和几何注意力图来获得更好的视觉效果.

关键词:
数据增强数据增强深度学习是一种深度学习.域名适应 域名适应生成性的对抗性网络.生成型模型的生成型模型.图像对图像的翻译

更多相关视频

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

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

Published on: November 30, 2022

2.8K
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.8K

相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
651