IEEE ICME 2022 Grand Challenges
Challenge Title:
Low-power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene in Asian Countries
Registration URL: https://aidea-web.tw/icme2022
Competition Start Date: 1/10/2022
Challenge Description:
Object detection in the computer vision area has been extensively studied and making tremendous progress in recent years. Furthermore, image segmentation takes it to a new level by trying to find out accurately the exact boundary of the objects in the image. Semantic segmentation is in pursuit of more than just location of an object, going down to pixel level information. However, due to the heavy computation required in most deep learning-based algorithms, it is hard to run these models on embedded systems, which have limited computing capabilities. In addition, the existing open datasets for traffic scenes applied in ADAS applications usually include main lane, adjacent lanes, different lane marks (i.e. double line, single line, and dashed line) in western countries, which is not quite similar to that in Asian countries like Taiwan with lots of motorcycle riders speeding on city roads, such that the semantic segmentation models training by only using the existing open datasets will require extra technique for segmenting complex scenes in Asian countries.
In this competition, we encourage the participants to design semantic segmentation model that can be applied in Taiwan’s traffic scene with lots of fast speeding motorcycles running on city roads along with vehicles and pedestrians. The developed models not only fit for embedded systems but also achieve high accuracy at the same time.
This competition includes two stages: qualification and final competition.
- Qualification competition: all participants submit their answers online. A score is calculated. The top 15 teams would be qualified to enter the final round of the competition.
- Final competition: the final score will be evaluated on new MediaTek platform (Dimensity Series) platform for the final score.
Regular Awards
According to the points of each team in the final evaluation, we select the highest three teams for regular awards.
- Champion: $USD 1500
- 1st Runner-up: $USD 1000
- 3rd-place: $USD 700
Special Award
- Best INT8 model development Award: $USD 500
- Best overall score in the final competition using INT8 model development
All the award winners must agree to submit contest paper and attend the IEEE ICME2022 Grand Challenge PAIR Competition Special Session to present their work.
Deadline for Submission（UTC）:
| Date | Event |
|---|---|
| 1/10/2022 | Qualification Competition Start Date |
| 1/10/2022 | Date to Release Public Testing Data |
| 2/14/2022 | Date to Release Private Testing Data for Qualification |
| 2/21/2022 12:00 PM UTC | Qualification Competition End Date |
| 2/22/2022 12:00 AM UTC | Finalist Announcement |
| 2/22/2022 | Final Competition Start Date |
| 2/28/2022 | Date to Release Private Testing Data for Final |
| 3/7/2022 12:00 PM UTC | Final Competition End Date |
| 3/19/2022 12:00 PM UTC | Award Announcement |
| 3/31/2022 | Invited Paper Submission Deadline |
Host Organization:
- Intelligent Vision System (IVS) Lab, National Yang Ming Chiao Tung University (NYCU), Taiwan Website: http://ivs.ee.nctu.edu.tw/ivs/
Academic Partner:
- Wistron-NCTU Embedded Artificial Intelligence Research Center
- Pervasive Artificial Intelligence Research (PAIR) Labs, National Yang Ming Chiao Tung University (NYCU), Taiwan Website: https://pairlabs.ai/
- AI System (AIS) Lab, National Cheng Kung University (NCKU), Taiwan
- The A19 Lab
Industry Partner:
- MediaTek
Website: https://www.mediatek.com/
