Search Results - "Gui, Xia"

Align Deep Features for Oriented Object Detection by Han, Jiaming, Ding, Jian, Li, Jie, Xia, Gui-Song

“…The past decade has witnessed significant progress on detecting objects in aerial images that are often distributed with large-scale variations and arbitrary…”
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Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection by Xu, Yongchao, Fu, Mingtao, Wang, Qimeng, Wang, Yukang, Chen, Kai, Xia, Gui-Song, Bai, Xiang

“…Object detection has recently experienced substantial progress. Yet, the widely adopted horizontal bounding box representation is not appropriate for…”
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AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification by Xia, Gui-Song, Hu, Jingwen, Hu, Fan, Shi, Baoguang, Bai, Xiang, Zhong, Yanfei, Zhang, Liangpei, Lu, Xiaoqiang

“…Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding…”
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An Empirical Study of Remote Sensing Pretraining by Wang, Di, Zhang, Jing, Du, Bo, Xia, Gui-Song, Tao, Dacheng

“…Deep learning has largely reshaped remote sensing (RS) research for aerial image understanding and made a great success. Nevertheless, most of the existing…”
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities by Cheng, Gong, Xie, Xingxing, Han, Junwei, Guo, Lei, Xia, Gui-Song

“…Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad…”
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Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery by Zhao, Bei, Zhong, Yanfei, Xia, Gui-Song, Zhang, Liangpei

“…Due to the complex arrangements of the ground objects in high spatial resolution (HSR) imagery scenes, HSR imagery scene classification is a challenging task,…”
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X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data by Hong, Danfeng, Yokoya, Naoto, Xia, Gui-Song, Chanussot, Jocelyn, Zhu, Xiao Xiang

“…This paper addresses the problem of semi-supervised transfer learning with limited cross-modality data in remote sensing. A large amount of multi-modal earth…”
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Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges by Ding, Jian, Xue, Nan, Xia, Gui-Song, Bai, Xiang, Yang, Wen, Yang, Michael Ying, Belongie, Serge, Luo, Jiebo, Datcu, Mihai, Pelillo, Marcello, Zhang, Liangpei

“…In he past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale…”
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Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery by Zhu, Qiqi, Zhong, Yanfei, Zhao, Bei, Xia, Gui-Song, Zhang, Liangpei

“…Scene classification has been studied to allow us to semantically interpret high spatial resolution (HSR) remote sensing imagery. The bag-of-visual-words…”
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Learning Center Probability Map for Detecting Objects in Aerial Images by Wang, Jinwang, Yang, Wen, Li, Heng-Chao, Zhang, Haijian, Xia, Gui-Song

“…One fundamental problem in Earth Vision is to accurately find the locations and identify the categories of the interesting objects in the aerial images, for…”
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UAVid: A semantic segmentation dataset for UAV imagery by Lyu, Ye, Vosselman, George, Xia, Gui-Song, Yilmaz, Alper, Yang, Michael Ying

“…[Display omitted] Semantic segmentation has been one of the leading research interests in computer vision recently. It serves as a perception foundation for…”
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Object Tracking in Satellite Videos by Improved Correlation Filters With Motion Estimations by Xuan, Shiyu, Li, Shengyang, Han, Mingfei, Wan, Xue, Xia, Gui-Song

“…As a new method of Earth observation, video satellite is capable of monitoring specific events on the Earth's surface continuously by providing high-temporal…”
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Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images by Yang, Kunping, Xia, Gui-Song, Liu, Zicheng, Du, Bo, Yang, Wen, Pelillo, Marcello, Zhang, Liangpei

“…Given two multitemporal aerial images, semantic change detection (SCD) aims to locate the land-cover variations and identify their change types with pixelwise…”
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Local Semantic Enhanced ConvNet for Aerial Scene Recognition by Bi, Qi, Qin, Kun, Zhang, Han, Xia, Gui-Song

“…Aerial scene recognition is challenging due to the complicated object distribution and spatial arrangement in a large-scale aerial image. Recent studies…”
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ReDet: A Rotation-equivariant Detector for Aerial Object Detection by Han, Jiaming, Ding, Jian, Xue, Nan, Xia, Gui-Song

“…Recently, object detection in aerial images has gained much attention in computer vision. Different from objects in natural images, aerial objects are often…”
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Learning RoI Transformer for Oriented Object Detection in Aerial Images by Ding, Jian, Xue, Nan, Long, Yang, Xia, Gui-Song, Lu, Qikai

“…Object detection in aerial images is an active yet challenging task in computer vision because of the bird's-eye view perspective, the highly complex…”
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Land-cover classification with high-resolution remote sensing images using transferable deep models by Tong, Xin-Yi, Xia, Gui-Song, Lu, Qikai, Shen, Huanfeng, Li, Shengyang, You, Shucheng, Zhang, Liangpei

“…In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex…”
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Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery by Hu, Fan, Xia, Gui-Song, Hu, Jingwen, Zhang, Liangpei

“…Learning efficient image representations is at the core of the scene classification task of remote sensing imagery. The existing methods for solving the scene…”
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A Multiple-Instance Densely-Connected ConvNet for Aerial Scene Classification by Bi, Qi, Qin, Kun, Li, Zhili, Zhang, Han, Xu, Kai, Xia, Gui-Song

“…In contrast with nature scenes, aerial scenes are often composed of many objects crowdedly distributed on the surface in bird's view, the description of which…”
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Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark by Xu, Chang, Wang, Jinwang, Yang, Wen, Yu, Huai, Yu, Lei, Xia, Gui-Song

“…Tiny object detection (TOD) in aerial images is challenging since a tiny object only contains a few pixels. State-of-the-art object detectors do not provide…”
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