2021 DIGIX GLOBAL AI CHALLENGE: Finalists Announcement
The preliminary of our 2021 DIGIX GLOBAL AI CHALLENGE came to an end on August 31. Our judging panel, having carefully assessed and verified the entries, has now announced which teams will be advancing to the next stage of the competition. Six teams have been chosen from each of the five Proposals, which means that 30 teams in total will be competing in the elite final. The winners are listed below.
| Proposal | Rank | Team Name | Country | Score |
| Proposal 1: Predicting user retention during different periods, based on multiple targets and views | 1 | lighting | Chinese mainland | 0.783963 |
| 2 | Yi Qun Mao | Chinese mainland | 0.781859 | |
| 3 | kagankaganoglu | Turkey | 0.780492 | |
| 4 | Ji Qi Bu Xue Xi Ren Xue Xi | Chinese mainland | 0.779875 | |
| 5 | Shu Ju Mo Shu Shi | Chinese mainland | 0.774323 | |
| 6 | orgin_star | Chinese mainland | 0.773329 | |
| Proposal 2: Article quality evaluation based on multi-model transfer learning | 1 | Ka Bi Ba Bo | Chinese mainland | 0.738083 |
| 2 | Zhi Shi Gong Chang&Chaos | Chinese mainland | 0.72366 | |
| 3 | DL | Chinese mainland | 0.716279 | |
| 4 | DECEM | Chinese mainland | 0.710571 | |
| 5 | Jiang You | Chinese mainland | 0.686881 | |
| 6 | Jin Ke fly | Chinese mainland | 0.676839 | |
| Proposal 3: Video recommendations based on multi-objective optimization | 1 | Hui Huo De Ren Sheng | Chinese mainland | 2.099499 |
| 2 | Shi Wu LU | Chinese mainland | 2.060673 | |
| 3 | Mo Yu De San Ge Liang Zai | Chinese mainland | 2.038791 | |
| 4 | Xu Zhi Shao Shi Na Yun Zhi | Chinese mainland | 2.034721 | |
| 5 | HL | Chinese mainland | 2.023653 | |
| 6 | MX | Chinese mainland | 2.008646 | |
| Proposal 4: Search rankings in multimodal and multilingual contexts | 1 | Unstoppable | Chinese mainland | 0.28358 |
| 2 | 0411 | Chinese mainland | 0.243209 | |
| 3 | ielab | Australia | 0.242258 | |
| 4 | Wo Xiang Shui Jiao | Chinese mainland | 0.235134 | |
| 5 | Min Yao Gen Yao Gun Qu Beng Di La | Chinese mainland | 0.196001 | |
| 6 | 1105 | Chinese mainland | 0.195819 | |
| Proposal 5: Menu identification leveraging few-shot learning models | 1 | Tian Tian Xiang Shang | Chinese mainland | 0.9018 |
| 2 | Ban Zhuan Di Yi Ming | Chinese mainland | 0.8918 | |
| 3 | Northern_Light | Chinese mainland | 0.88 | |
| 4 | Tuo La Ji | Chinese mainland | 0.8677 | |
| 5 | San Ge He Shang Mei Shui He | Chinese mainland | 0.8625 | |
| 6 | Xiao Xiao Kuai Le | Chinese mainland | 0.8227 |
Congratulations to each of these 30 talented teams on making it through. We're looking forward to seeing what each of them brings to the final!
The online stage of the elite final will be held between September 9 and September 15, 2021.
Once the online stage has been completed, all of the competing teams will participate in an offline presentation and awards ceremony, which will take place at Huawei Nanjing Research Center. The time and dates for this will be confirmed soon.
