Search Results for author: Yingjia Bu

Found 2 papers, 1 papers with code

LUAI Challenge 2021 on Learning to Understand Aerial Images

1 code implementation • 30 Aug 2021 • Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu

This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images.

Object object-detection +4

273

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PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images

no code implementations • 17 Oct 2020 • Pengbo Zhao, Zhenshen Qu, Yingjia Bu, Wenming Tan, Ye Ren, ShiLiang Pu

Fast and precise object detection for high-resolution aerial images has been a challenging task over the years.

Ranked #39 on Object Detection In Aerial Images on DOTA (using extra training data)

Object object-detection +1

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