遥感检测
目标检测(Object Detection)是计算机视觉中一个重要且具有挑战性的问题。尽管过去几年自然场景中的目标检测取得了重大进展,但遥感影像上的检测任务进展缓慢,这不仅是因为航拍图片中物体实例的规模、方向和形状变化巨大,还因为航空场景缺乏良好标注的数据集。为了推进遥感图像物体检测的发展,团队提出了用于遥感检测的大规模数据集[DOTA]。团队在自然图像检测与遥感目标检测任务中取得了突出的成绩,相关工作发表在TPAMI、CVPR、ICCV等顶级期刊和会议。团队相信,大规模的数据集、广泛的基线、代码库和挑战可以促进遥感检测任务蓬勃发展。
相关成果
2021
1. Ding J, Xue N, Xia GS, Bai X, Yang W, Yang M, Belongie S, Luo J, Datcu M, Pelillo M, Zhang L. Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2021 [pdf] [code]
2. Xia GS, Ding J, Qian M, Xue N, Han J, Bai X, Yang MY, Li S, Belongie S, Luo J, Datcu M. LUAI Challenge 2021 on Learning to Understand Aerial Images. IEEE International Conference on Computer Vision Workshop(ICCVW), 2021 [pdf] [code]
3. Xu M, Zhang Z, Wei F, Lin Y, Cao Y, Lin S, Hu H, Bai X. Bootstrap Your Object Detector via Mixed Training. Neural Information Processing Systems (NeurIPS), 2021 [pdf] [code]
4. Xu M, Zhang Z, Hu H, Wang J, Wang L, Wei F, Bai X, Liu Z. End-to-End Semi-Supervised Object Detection with Soft Teacher. IEEE International Conference on Computer Vision (ICCV), 2021 [pdf] [code]
2020
5. Xu Y, Fu M, Wang Q, Wang Y, Chen K, Xia GS, Bai X. Gliding vertex on the horizontal bounding box for multi-oriented object detection. IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2020. [pdf] [code]
2019
6. Waqas Zamir S, Arora A, Gupta A, Khan S, Sun G, Shahbaz Khan F, Zhu F, Shao L, Xia GS, Bai X. ISAID: A large-scale dataset for instance segmentation in aerial images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2019.[pdf]
2018
7. Xia GS, Bai X, Ding J, Zhu Z, Belongie S, Luo J, Datcu M, Pelillo M, Zhang L. DOTA: A Large-scale Dataset for Object Detection in Aerial Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [pdf][code]
8. Tang P, Wang X, Bai S, Shen W, Bai X, Liu W, Yuille A. PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE transactions on pattern analysis and machine intelligence (TPAMI) 2018.[pdf] [code]
9. Ding J, Zhu Z, Xia GS, Bai X, Belongie S, Luo J, Datcu M, Pelillo M, Zhang L. ICPR2018 contest on object detection in aerial images. International Conference on Pattern Recognition (ICPR), 2018.[pdf]