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Object Detection in Haze

Team Overall Score Members Affiliation Fact Sheet
1 icecreamztq 93.88 Teqiang Zou University of Science and Technology of China [Doc]
2 determined_dehaze 93.72 Daoqi Xu, Lei Tian, Di Chen, Weiwei Zhang, Bin Wang, Pan Pan Alibaba Group [Poster]
3 longpham3105 93.65 Long Hoang Pham, Hyung-Joon Jeon, Duong Nguyen-Ngoc Tran, Tai Huu-Phuong Tran, Huy-Hung Nguyen, Hyung-Min Jeon, Jae Wook Jeon Automation Lab, Sungkyunkwan University [Doc]
4 IPIU-XDU 93.01 Xiaoqiang Lu[1], Tong Gou[2], Guojin Cao[1], Licheng Jiao[1], Fang Liu[1] [1] Xidian Univerisity, [2] Xi'an University of Technology
5 Brave Little Briquettes 93.00 Peng Zhang[1], Chao Huang[2], Chengqing Xu[1], Jinghui Tang[1] [1] China University of Mining and Technology, [2] University of Electronic Science and Technology of China [Slides]
Please see more details from Codalab Track 1

Last updated: 06/12/2022

(Semi-)Supervised Face Detection in Low Light Conditions

Team Overall Score Fact Sheet
1 TAL-ai 74.89% [Doc]
2 DeepBlueAI 71.65% [Doc]
3 New Horizons 69.71% [Doc]
4 LittleBear 69.44%
5 ez_MNY 68.90%
6 blockbuster 66.49%
7 TJU-IMMLab_CC 63.04%
8 YT 62.90%
9 NWPU_ASGO 60.09%
10 SunwayAI 56.08%
11 CET_CV_LAB 54.59%
12 Chair 6 51.04%
13 VIP Lab 48.03%
14 Thaeste 45.58%
15 CET_CV_LAB 23.70%

There are some competetive submissions whose paticicants fail to complete our registration. We highly honor and appreciate the great efforts from teams/users below:

  • Codalab Team TsingMicro, Codalab User TSM-Image, mAP 71.48%
Please see more details from Codalab Track 1.2

Last updated: 06/12/2022

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