English | 繁體

Search in the results

UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
A deep learning framework for 3D vegetation extraction in complex urban environments Journal article
Wu, Jiahao, Meng, Qingyan, Gao, Liang, Zhang, Linlin, Zhao, Maofan, Su, Chen. A deep learning framework for 3D vegetation extraction in complex urban environments[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 129, 103798.
Authors:  Wu, Jiahao;  Meng, Qingyan;  Gao, Liang;  Zhang, Linlin;  Zhao, Maofan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.6/7.5 | Submit date：2024/05/16
Convolutional Neural Network  High-resolution  Multi-task Learning  Three-dimensional Vegetation  Urban Vegetation  
HRNet-based automatic identification of photovoltaic module defects using electroluminescence images Journal article
Zhao, Xiaolong, Song, Chonghui, Zhang, Haifeng, Sun, Xianrui, Zhao, Jing. HRNet-based automatic identification of photovoltaic module defects using electroluminescence images[J]. Energy, 2023, 267, 126605.
Authors:  Zhao, Xiaolong;  Song, Chonghui;  Zhang, Haifeng;  Sun, Xianrui;  Zhao, Jing
Favorite | TC[WOS]:21 TC[Scopus]:27  IF:9.0/8.2 | Submit date：2023/04/03
Electroluminescence  Photovoltaic  High-resolution Network  Data Augmentation  Self-fusion  
Few-shot object detection via high-and-low resolution representation Journal article
Haolun Li, Senlin Ge, Chuyi Gao, Hao Gao. Few-shot object detection via high-and-low resolution representation[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 104, 108438.
Authors:  Haolun Li;  Senlin Ge;  Chuyi Gao;  Hao Gao
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:4.0/3.8 | Submit date：2023/01/30
Few-shot Learning  Anchor-free Network  High-and-low Resolution Representation Module  Computer Vision