Search Results for author: Kaixuan Hu

Found 2 papers, 2 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

Paper
Code

Oriented RepPoints for Aerial Object Detection

2 code implementations • CVPR 2022 • Wentong Li, Yijie Chen, Kaixuan Hu, Jianke Zhu

In contrast to the generic object, aerial targets are often non-axis aligned with arbitrary orientations having the cluttered surroundings.

Ranked #8 on Oriented Object Detection on DOTA 1.0

Object Object Detection In Aerial Images +2

273

Paper
Code

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