1 code implementation • CVPR 2023 • Chang Xu, Jian Ding, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia
Despite the exploration of adaptive label assignment in recent oriented object detectors, the extreme geometry shape and limited feature of oriented tiny objects still induce severe mismatch and imbalance issues.
Ranked #4 on Oriented Object Detection on DOTA 2.0
1 code implementation • 18 Aug 2022 • Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia
Then, instead of assigning samples with IoU or center sampling strategy, a new Receptive Field Distance (RFD) is proposed to directly measure the similarity between the Gaussian receptive field and ground truth.
1 code implementation • 28 Jun 2022 • Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia
Tiny object detection (TOD) in aerial images is challenging since a tiny object only contains a few pixels.
1 code implementation • 28 Apr 2022 • Jinwang Wang, Lingxuan Meng, Weijia Li, Wen Yang, Lei Yu, Gui-Song Xia
In this paper, we propose an offset vector learning scheme, which turns the building footprint extraction problem in off-nadir images into an instance-level joint prediction problem of the building roof and its corresponding "roof to footprint" offset vector.
3 code implementations • 26 Oct 2021 • Jinwang Wang, Chang Xu, Wen Yang, Lei Yu
Our key observation is that Intersection over Union (IoU) based metrics such as IoU itself and its extensions are very sensitive to the location deviation of the tiny objects, and drastically deteriorate the detection performance when used in anchor-based detectors.
Ranked #1 on Object Detection on AI-TOD
1 code implementation • International Conference on Pattern Recognition (ICPR) 2021 • Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia
To build a benchmark for tiny object detection in aerial images, we evaluate the state-of-the-art object detectors on our AI-TOD dataset.
Ranked #3 on Object Detection on AI-TOD
no code implementations • ICCV 2021 • Weijia Li, Lingxuan Meng, Jinwang Wang, Conghui He, Gui-Song Xia, Dahua Lin
3D building reconstruction from monocular remote sensing imagery is an important research problem and an economic solution to large-scale city modeling, compared with reconstruction from LiDAR data and multi-view imagery.
no code implementations • 9 Nov 2018 • Shi-Jie Lin, Jinwang Wang, Wen Yang, Guisong Xia
Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising potentials to transform passive sensing missions into active 3-dimension interactive missions, but they still suffer from some difficulties impeding their wide applications, such as target detection and stabilization.