相关实验视频

Updated: Jul 25, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

无人机-DETR:高效的小物体检测用于远程传感图像使用增强的RT-DETR模型.

Yaning Kong1, Xiangfeng Shang1, Shijie Jia1

  • 1College of Computer and Communication Engineering, Dalian Jiaotong University, Dalian 116028, China.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

无人机-DETR模型通过改进小物体识别和减少计算负载来增强无人机对象检测. 这种轻量级模型在复杂的遥感图像上实现了卓越的精度.

关键词:
其他国家/地区 RT-DETRR无人机对象检测对象检测 无人机对象检测功能融合 功能融合 功能融合小物体检测 小物体检测视觉传感器 视觉传感器

更多相关视频

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
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications03:31

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

Published on: December 15, 2023

487

相关概念视频

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...