Workshop Challenges

Timeline of the challenges: 


FINAL LEADERBOARD (updated 7 June, 2023)


Track I: Budgeted Model Training challenge

The aim of this competition track is to be train a deep learning model for the task of classification with a constraint of 6 GB GPU memory limit. This implies that the maximum GPU memory usage at any point in the entire training process should not exceed 6 GB. Any solution that violates this constraint will not qualify. The training time is limited to 9 GPU hours. 

The following machine configuration will be used for training your models/frameworks -

GPU : Quadro RTX 8000 

GPU Mem. Limit : 6GB

Total Time Limit : 9 Hours 

CPU Cores : 4

RAM : 32GB

[START THE CHALLENGE HERE]



Track II: Budgeted Model Inference challenge

This competition requires that the resultant model is light-weight. Solutions will be ranked in terms of accuracy metric and latency.

The following machine configuration will be used for inference -

GPU : Quadro RTX 8000 

GPU Mem. Limit : 16GB

CPU Cores : 4

RAM : 32GB

[START THE CHALLENGE HERE]


PRIZES:

1st Place - 8000 NOK (~750 USD)
2nd Place - 5500 NOK (~520 USD)

The prizes for these challenges are sponsored by Norwegian Artificial Intelligence Research Consortium (NORA).

RULES


Workshop publication on the challenges

Based on the results and discussions around the two challenges, we will compile challenge papers that will be either submitted for inclusion in ICCV 2023 proceedings or will be submitted as a technical article to a good journal such as TMLR or IJCV.