研究论文
A feature refinement and adaptive generative adversarial network for thermal infrared image colorization
Yu Chen, Weida Zhan, Yichun Jiang, Depeng Zhu, Xiaoyu Xu, Ziqiang Hao, Jin Li, Jinxin Guo
Changchun University of Science and Technology Beihang University
来源Neural Networks
年份2024
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF,后续可基于全文生成更完整的速读。
逐年被引趋势
630
24
625
26
关键指标
15
被引次数 · OpenAlex
2.29
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 11%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
109
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:文献信息
论文问答
当前基于文献信息回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIGenerative Adversarial Networks and Image Synthesis
Advanced Image Processing Techniques · Image Enhancement Techniques
参考文献 109
Very Deep Convolutional Networks for Large-Scale Image Recognition
被引 75,432Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014
Multispectral pedestrian detection: Benchmark dataset and baseline
被引 1,198Soonmin Hwang, Jaesik Park, Nam Il Kim · 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
被引 2,295Bing Xu, Naiyan Wang, Tianqi Chen · arXiv (Cornell University) · 2015
此处列出前 3 条
引用本文 15
SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared–visible image fusion
被引 34Qinghua Wang, Ziwei Li, Shuqi Zhang · Information Fusion · 2024
MCU-GAN: Colorization method for infrared images based on multi-convolution fusion and generative adversarial network
被引 9Qian Jiang, Guoliang Yao, Feng Ming · Infrared Physics & Technology · 2024
RDAGAN: Residual Dense Module and Attention-Guided Generative Adversarial Network for infrared image generation
被引 7Tianwei Zhou, Yanfeng Tang, Weida Zhan · Infrared Physics & Technology · 2024
按被引量排序,此处列出前 3 条