Ranking Report:
Team Ranks
Team name | Dataset1 rank | Dataset2 rank | Dataset3 rank | Dataset4 rank | Final_score |
USC_Vision* | 1 | 1 | 2 | 1 | 1.25 |
hfutdspmct* | 2 | 2 | 1 | 3 | 2 |
CRIPAC_MCT* | 3 | 3 | 3 | 2 | 2.75 |
AdbTeam* | 4 | 4 | 4 | 4 | 4 |
‘*’ denotes the results have been checked.
Team Results
USC_Vision:
Experiment | Dataset1 MCTA | Dataset2 MCTA | Dataset3 MCTA | Dataset4 MCTA |
Experiment1 | 0.91520 | 0.91322 | 0.51626 | 0.70519 |
Experiment2 | 0.88308 | 0.83972 | 0.24265 | 0.43569 |
Experiment3 | 0.59891 | 0.62602 | 0.05551 | 0.34043 |
Subset_score | 0.79906 | 0.79299 | 0.27147 | 0.49377 |
hfutdspmct:
Experiment | Dataset1 MCTA | Dataset2 MCTA | Dataset3 MCTA | Dataset4 MCTA |
Experiment1 | 0.74251 | 0.65441 | 0.73694 | 0.39453 |
Experiment2 | 0.74770 | 0.65605 | 0.20277 | 0.26502 |
Experiment3 | 0.28096 | 0.28148 | 0.03587 | 0.06077 |
Subset_score | 0.59039 | 0.53065 | 0.32519 | 0.24011 |
CRIPAC_MCT:
Experiment | Dataset1 MCTA | Dataset2 MCTA | Dataset3 MCTA | Dataset4 MCTA |
Experiment1 | 0.66168 | 0.59069 | 0.71053 | 0.57031 |
Experiment2 | 0.69032 | 0.62377 | 0.08484 | 0.18299 |
Experiment3 | 0.12460 | 0.10746 | 0.01109 | 0.02127 |
Subset_score | 0.49220 | 0.44064 | 0.26882 | 0.25819 |
AdbTeam:
Experiment | Dataset1 MCTA | Dataset2 MCTA | Dataset3 MCTA | Dataset4 MCTA |
Experiment1 | 0.32036 | 0.34559 | 0.13816 | 0.15625 |
Experiment2 | 0.23322 | 0.26679 | 0.11040 | 0.17531 |
Experiment3 | 0.10591 | 0.09003 | 0.04056 | 0.04732 |
Subset_score | 0.21983 | 0.23414 | 0.09637 | 0.12629 |
Report Overview
The main presentation of the MCT challenge can be downloaded from here.
The presentation of the winner method can be downloaded from here.