ICME2020 Grand Challenge: PAIR 競賽 圓滿落幕
2020-03-09
由本中心與郭峻因教授指導的實驗室iVS Lab(Intelligent Vision System Lab)共同舉辦的 「ICME2020 Grand Challenge – Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries」已於三月六日圓滿落幕，本次競賽主要在於針對亞洲地區特有的交通工具及道路狀況在嵌入式的有限資源下進行物件識別技術的探討，經過兩個月的初賽及四週的決選，最終的優勝者與特別獎項的評比終於出爐。(圖片來源: Pixabay / 圖片再製:人工智慧普適研究中心)
優勝名單
- 冠軍：USTC-NELSLIP
- 亞軍：BUPT_MCPRL
- 季軍：DD_VISION
特別獎項
- 最佳精確獎：BUPT_MCPRL
- 最佳自行車偵測：IBDO-AIOT
- 最佳機車偵測：Deep Learner
決賽各項評比結果
|
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 |
||||||||
決賽團隊總分
|
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 |
|||||
