1 code implementation • 1 Dec 2018 • Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu
Especially when detecting densely packed objects in aerial images, methods relying on horizontal proposals for common object detection often introduce mismatches between the Region of Interests (RoIs) and objects.
Ranked #53 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
no code implementations • 7 Nov 2018 • Gui-Song Xia, Jin Huang, Nan Xue, Qikai Lu, Xiaoxiang Zhu
More precisely, given an image, the geometric saliency is derived from a mid-level geometric representations based on meaningful junctions that can locally describe geometrical structures of images.
no code implementations • 16 Jul 2018 • Xin-Yi Tong, Gui-Song Xia, Qikai Lu, Huanfeng Shen, Shengyang Li, Shucheng You, Liangpei Zhang
The main idea is to rely on deep neural networks for presenting the contextual information contained in different types of land-covers and propose a pseudo-labeling and sample selection scheme for improving the transferability of deep models.
no code implementations • 4 Jun 2018 • Xin-Yi Tong, Qikai Lu, Gui-Song Xia, Liangpei Zhang
Many significant applications need land cover information of remote sensing images that are acquired from different areas and times, such as change detection and disaster monitoring.
no code implementations • 3 Jun 2018 • Pu Jin, Gui-Song Xia, Fan Hu, Qikai Lu, Liangpei Zhang
Aerial image scene classification is a fundamental problem for understanding high-resolution remote sensing images and has become an active research task in the field of remote sensing due to its important role in a wide range of applications.