Winners
Congrats to:
First Place
Member: Mathias Bittner, Dominik Dallinger, Daniel Schnoell, Axel Jantsch
Lin
Team ID: CDL-EML TU Wien
Team Affiliation: CDL-Embedded Machine Learning, TU Wien
Second Place
Member: Lianming Huang, Yu Mao, Shangyu Wu, Yufei Cui (advisor, McGill University, Mila), Xue Liu (advisor, McGill University, Mila),
Nan Guan (advisor, City University of Hong Kong), Chun Jason Xue (advisor, City University of Hong Kong), Tei-Wei Kuo (advisor, MBZUAI and National Taiwan University)
Team ID: HugeRabbit
Team Affiliation: City University of Hong Kong
Third Place
Member: Chaoyao Shen, Yuning Ji, Guoqing Li, Cheng Chen,
Jiezhong Tan, Tao Xu, Linfeng Jiang, Jing Zhang, Yiming Ma, Tuo Li, Meng Zhang (advisor)
Team ID: TinyNet
Team Affiliation: Southeast University
You can also view the following table to get detailed team scores for top 20 teams, if your team name not listed in the top 20 teams, please feel free to contact for the detail score for your team:
| Rank | Team name | Final Score | Late Submission Penalty | Score | F_beta | Generalization | Latency | Flash |
| 1 | CDL-EML TU Wien | 132.2852771 | 1 | 132.2852771 | 0.973576557 | 0.894736842 | 1.52 | 12.83 |
| 2 | HugeRabbit | 128.9111467 | 1 | 128.9111467 | 0.944535107 | 0.842105263 | 1.328628687 | 12.19 |
| 3 | TinyNet | 128.0583018 | 1 | 128.0583018 | 0.922337902 | 0.842105263 | 0.889040129 | 10.25 |
| 4 | RiceU | 127.7578649 | 1 | 127.7578649 | 0.978048853 | 0.894736842 | 7.996 | 25.19 |
| 5 | Gatech EIC Lab Team | 127.0844836 | 1 | 127.0844836 | 0.93411882 | 0.842105263 | 4.725876269 | 14.42 |
| 6 | Rutgers Efficient AI Team | 125.1301292 | 1 | 125.1301292 | 0.961187356 | 0.736842105 | 7.592000119 | 15.61 |
| 7 | HKUST-TJFP | 124.477418 | 1 | 124.477418 | 0.919736092 | 0.736842105 | 1.085341932 | 10.90 |
| 8 | EAST | 124.1544068 | 1 | 124.1544068 | 0.934839934 | 0.842105263 | 2.168744058 | 23.97 |
| 9 | SKKU IRIS Lab | 123.4510518 | 1 | 123.4510518 | 0.962163744 | 0.736842105 | 2.640124209 | 22.23 |
| 10 | 深藏BLUE | 123.4350199 | 1 | 123.4350199 | 0.936104613 | 0.684210526 | 0.256660934 | 12.95 |
| 11 | EmPasLab2 | 123.0396533 | 1 | 123.0396533 | 0.946985719 | 0.842105263 | 12.76086492 | 26.63 |
| 12 | Gumdrops | 122.794289 | 0.98 | 125.3002949 | 0.920570868 | 0.789473684 | 0.520305506 | 13.47 |
| 13 | IIT-Goa-Systems-Lab | 122.6181652 | 1 | 122.6181652 | 0.933039934 | 0.789473684 | 8.487540189 | 21.60 |
| 14 | Challenger | 122.3092135 | 1 | 122.3092135 | 0.937720192 | 0.789473684 | 5.967595605 | 24.22 |
| 15 | empas1 | 122.1916169 | 1 | 122.1916169 | 0.934871324 | 0.842105263 | 12.76115108 | 26.63 |
| 16 | BHEE | 122.0642897 | 1 | 122.0642897 | 0.963263435 | 0.789473684 | 3.165 | 31.05 |
| 17 | AICAS | 119.5040616 | 1 | 119.5040616 | 0.916854399 | 0.736842105 | 4.439000239 | 23.98 |
| 18 | Heartbeat Hackers | 117.1650875 | 1 | 117.1650875 | 0.920077596 | 0.789473684 | 37.38 | 26.44 |
| 19 | 2023_TinyML_Team | 116.3852172 | 1 | 116.3852172 | 0.883562655 | 0.789473684 | 16.72943115 | 27.32 |
| 20 | WISCAD | 114.273122 | 1 | 114.273122 | 0.902852145 | 0.684210526 | 17.44 | 28.01 |
This is the top 5 team ranking based on the F_beta metric.
| Rank | Team name | Final Score | Late Submission Penalty | Score | F_beta | Generalization | Latency | Flash |
| 1 | RiceU | 127.7578649 | 1 | 127.7578649 | 0.978048853 | 0.894736842 | 7.996 | 25.19 |
| 2 | CDL-EML TU Wien | 132.2852771 | 1 | 132.2852771 | 0.973576557 | 0.894736842 | 1.52 | 12.83 |
| 3 | BHEE | 122.0642897 | 1 | 122.0642897 | 0.963263435 | 0.789473684 | 3.165 | 31.05 |
| 4 | SKKU IRIS Lab | 123.4510518 | 1 | 123.4510518 | 0.962163744 | 0.736842105 | 2.640124209 | 22.23 |
| 5 | Rutgers Efficient AI Team | 125.1301292 | 1 | 125.1301292 | 0.961187356 | 0.736842105 | 7.592000119 | 15.61 |
This is the top 5 team ranking based on the Latency metric.
| Rank | Team name | Final Score | Late Submission Penalty | Score | F_beta | Generalization | Latency | Flash |
| 1 | 深藏BLUE | 123.4350199 | 1 | 123.4350199 | 0.936104613 | 0.684210526 | 0.256660934 | 12.95 |
| 2 | Gumdrops | 122.794289 | 0.98 | 125.3002949 | 0.920570868 | 0.789473684 | 0.520305506 | 13.47 |
| 3 | TinyNet | 128.0583018 | 1 | 128.0583018 | 0.922337902 | 0.842105263 | 0.889040129 | 10.25 |
| 4 | HKUST-TJFP | 124.477418 | 1 | 124.477418 | 0.919736092 | 0.736842105 | 1.085341932 | 10.90 |
| 5 | HugeRabbit | 128.9111467 | 1 | 128.9111467 | 0.944535107 | 0.842105263 | 1.328628687 | 12.19 |
This is the top 5 team ranking based on the Flash metric.
| Rank | Team name | Final Score | Late Submission Penalty | Score | F_beta | Generalization | Latency | Flash |
| 1 | TinyNet | 128.0583018 | 1 | 128.0583018 | 0.922337902 | 0.842105263 | 0.889040129 | 10.25 |
| 2 | HKUST-TJFP | 124.477418 | 1 | 124.477418 | 0.919736092 | 0.736842105 | 1.085341932 | 10.90 |
| 3 | HugeRabbit | 128.9111467 | 1 | 128.9111467 | 0.944535107 | 0.842105263 | 1.328628687 | 12.19 |
| 4 | CDL-EML TU Wien | 132.2852771 | 1 | 132.2852771 | 0.973576557 | 0.894736842 | 1.52 | 12.83 |
| 5 | 深藏BLUE | 123.4350199 | 1 | 123.4350199 | 0.936104613 | 0.684210526 | 0.256660934 | 12.95 |