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Cited by 658

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

Open access
Du, Dawei, Zhu, Pengfei, Wen, Longyin, Bian, Xiao, Lin, Haibin, Hu, Qinghua, Peng, Tao, Zheng, Jiayu, Wang, Xinyao, Zhang, Yue, Bo, Liefeng, Shi, Hailin, Zhu, Rui, Kumar, Aashish, Li, Aijin, Zinollayev, Almaz, Askergaliyev, Anuar, Schumann, Arne, Mao, Binjie, Lee, Byeongwon, Liu, Chang, Chen, Changrui, Pan, Chunhong, Huo, Chunlei, Yu, Da, Cong, DeChun, Zeng, Dening, Pailla, Dheeraj Reddy, Li, Di, Wang, Dong, Cho, Donghyeon, Zhang, Dongyu, Bai, Furui, Jose, George, Gao, Guangyu, Liu, Guizhong, Xiong, Haitao, Qi, Hao, Wang, Haoran, Qiu, Heqian, Li, HongLiang, Lu, Huchuan, Kim, Ildoo, Kim, Jaekyum, Shen, Jane, Lee, Jihoon, Ge, Jing, Xu, Jingjing, Zhou, Jingkai, Meier, Jonas, Choi, Jun Won, Hu, Junhao, Zhang, Junyi, Huang, Junying, Huang, Kaiqi, Wang, Keyang, Sommer, Lars, Jin, Lei, Zhang, Lei, Huang, Lianghua, Sun, Lin, Steinmann, Lucas, Jia, Meixia, Xu, Nuo, Zhang, Pengyi, Chen, Qiang, Lv, Qingxuan, Liu, Qiong, Cheng, Qishang, Chennamsetty, Sai Saketh, Chen, Shuhao, Wei, Shuo, Kruthiventi, Srinivas S S, Hong, Sungeun, Kang, Sungil, Wu, Tong, Feng, Tuo, Kollerathu, Varghese Alex, Li, Wanqi, Dai, Wei, Qin, Weida, Wang, Weiyang, Wang, Xiaorui, Chen, Xiaoyu, Chen, Xin, Sun, Xin, Zhang, Xin, Zhao, Xin, Zhang, Xindi, Zhang, Xinyu, Chen, Xuankun, Wei, Xudong, Zhang, Xuzhang, Li, Yanchao, Chen, Yifu, Toh, Yu Heng, Zhang, Yu, Zhu, Yu, Zhong, Yunxin, Wang, Zexin, Wang, Zhikang, Song, Zichen, Liu, Ziming·2019·2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
DOI 10.1109/iccvw.2019.00030
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Abstract

Recently, automatic visual data understanding from drone platforms becomes highly demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image Challenge is held the second time in conjunction with the 17-th International Conference on Computer Vision (ICCV 2019), focuses on image object detection on drones. Results of 33 object detection algorithms are presented. For each participating detector, a short description is provided in the appendix. Our goal is to advance the state-of-the-art detection algorithms and provide a comprehensive evaluation platform for them. The evaluation protocol of the VisDrone-DET2019 Challenge and the comparison results of all the submitted detectors on the released dataset are publicly available at the website: http: //www.aiskyeye.com/. The results demonstrate that there still remains a large room for improvement for object detection algorithms on drones.

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Show all 51 references

Research works printed but not linked: 4

  1. kong, 2019, Foveabox: Beyond anchor-based object detector, CoRR abs/1904 03797
  2. zhou, 2019, Objects as points, CoRR abs/1904 07850
  3. wu, 0, Group normalization, ECCV, 3
  4. zhang, 2018, Ensemble mask-aided r-cnn, ISBI, 6154

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Metadata

Authors
Du, D., Zhu, P., Wen, L., Bian, X., Lin, H., Hu, Q., Peng, T., Zheng, J., Wang, X., Zhang, Y., Bo, L., Shi, H., Zhu, R., Kumar, A., Li, A., Zinollayev, A., Askergaliyev, A., Schumann, A., Mao, B., Lee, B., Liu, C., Chen, C., Pan, C., Huo, C., Yu, D., Cong, D., Zeng, D., Pailla, D. R., Li, D., Wang, D., Cho, D., Zhang, D., Bai, F., Jose, G., Gao, G., Liu, G., Xiong, H., Qi, H., Wang, H., Qiu, H., Li, H., Lu, H., Kim, I., Kim, J., Shen, J., Lee, J., Ge, J., Xu, J., Zhou, J., Meier, J., Choi, J. W., Hu, J., Zhang, J., Huang, J., Huang, K., Wang, K., Sommer, L., Jin, L., Zhang, L., Huang, L., Sun, L., Steinmann, L., Jia, M., Xu, N., Zhang, P., Chen, Q., Lv, Q., Liu, Q., Cheng, Q., Chennamsetty, S. S., Chen, S., Wei, S., Kruthiventi, S. S. S., Hong, S., Kang, S., Wu, T., Feng, T., Kollerathu, V. A., Li, W., Dai, W., Qin, W., Wang, W., Wang, X., Chen, X., Chen, X., Sun, X., Zhang, X., Zhao, X., Zhang, X., Zhang, X., Chen, X., Wei, X., Zhang, X., Li, Y., Chen, Y., Toh, Y. H., Zhang, Y., Zhu, Y., Zhong, Y., Wang, Z., Wang, Z., Song, Z., & Liu, Z.
Venue
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Publisher
IEEE
Published
2019-10
Pages
213-226
DOI
10.1109/iccvw.2019.00030
OpenAlex
W3208645658
Cited by
658
References
51
FWCI
5.31
Type
conference paper
Language
en
Open access
green
Licence

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CoChat. (2026). Citation check: VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. https://app.cochat.ai/papers/10.1109/iccvw.2019.00030
The paper
Du, D., Zhu, P., Wen, L., Bian, X., Lin, H., Hu, Q., Peng, T., Zheng, J., Wang, X., Zhang, Y., Bo, L., Shi, H., Zhu, R., Kumar, A., Li, A., Zinollayev, A., Askergaliyev, A., Schumann, A., Mao, B., . . . Liu, Z. (2019). VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). https://doi.org/10.1109/iccvw.2019.00030

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