ICME2020 Grand Challenge: PAIR Competition Award Announced
2020-03-09
The “ICME2020 Grand Challenge-Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries” co-sponsored by PAIR Labs and iVS Lab (Directed by Prof. Jiun-In Guo) has successfully concluded on March 6. This competition is mainly aimed at the unique transportation and road conditions in Asia. After two months of qualification competition and four weeks of final competition, the winners and special awards were finally released.(Photo source: Pixabay)
Award Winners
- Champion: USTC-NELSLIP
- First Runner-up: BUPT_MCPRL
- Second Runner-up: DD_VISION
Special Awards
- Best accuracy award: BUPT_MCPRL
- Best bicycle detection award: IBDO-AIOT
- Best scooter detection award: Deep Learner
Final Evaluation Result
|
group |
Name |
Accuracy % |
Model Size (MByte) |
Complexity (GOPS/frame) |
Speed (ms/frame) |
||||
|
mAP |
bicycle |
scooter |
|||||||
|
icme2020_01 |
BUPT_MCPRL |
49.20 |
0.90 |
59.50 |
7.35 |
12.89 |
401.21 |
||
|
icme2020_02 |
USTC-NELSLIP |
44.60 |
0.20 |
56.00 |
6.04 |
11.16 |
141.8 |
||
|
icme2020_03 |
DD_VISION |
25.60 |
2.00 |
29.40 |
0.86 |
0.52 |
56.18 |
||
|
icme2020_04 |
Deep Learner |
49.00 |
0.10 |
62.40 |
45.2 |
56.64 |
1560.43 |
||
|
icme2020_06 |
nccu_vipl |
38.70 |
0.00 |
48.20 |
187.27 |
285.7 |
287.11 |
||
|
icme2020_07 |
IBDO-AIOT |
47.00 |
12.00 |
53.70 |
215.49 |
99.46 |
567.65 |
||
|
icme2020_08 |
ACVLab |
41.10 |
0.10 |
49.90 |
87.46 |
31.82 |
696.72 |
||
|
icme2020_010 |
資工A |
8.80 |
0.00 |
3.10 |
298.6 |
140.35 |
653.71 |
||
|
icme2020_05 |
Rock4Ever |
||||||||
|
icme2020_09 |
jummy112 |
||||||||
Final Score
|
group |
Name |
Partial Score |
Final Score |
|||
|
mAP |
model size |
complexity |
speed |
|||
|
icme2020_01 |
BUPT_MCPRL |
25 |
24.46 |
23.92 |
19.27 |
92.64 |
|
icme2020_02 |
USTC-NELSLIP |
22.15 |
24.57 |
24.07 |
23.58 |
94.36 |
|
icme2020_03 |
DD_VISION |
10.4 |
25 |
25 |
25 |
85.40 |
|
icme2020_04 |
Deep Learner |
24.88 |
21.28 |
20.08 |
0 |
66.23 |
|
icme2020_06 |
nccu_vipl |
18.5 |
9.35 |
0 |
21.16 |
49.01 |
|
icme2020_07 |
IBDO-AIOT |
23.64 |
6.98 |
16.33 |
16.5 |
63.44 |
|
icme2020_08 |
ACVLab |
19.99 |
17.73 |
22.26 |
14.35 |
74.33 |
|
icme2020_010 |
資工A |
0 |
0 |
12.74 |
15.07 |
27.81 |
|
icme2020_05 |
Rock4Ever |
|||||
|
icme2020_09 |
jummy112 |
|||||
