Please register your team and we will add you to the discussion forum for communication and questions. You can download the training dataset once registered for this grand challenge.
Please use this link to register.
Your model can use CPU and GPU. Your solution will be tested on AWS g6e.2xlarge EC2 with NVIDIA L40S GPU (48GB GPU RAM), 64GB Memory.
Please follow this link as a docker template to build your final code/model submission package, and submit it before final submission deadline. (Please carefully review the legal rules & terms before your submission!).
Submission link
Each model submission must be accompanied by a document describing the proposed solution in as much detail as possible, including methodology, results, and software details. The document must not exceed 4 pages and should follow the QoMEX formatting guidelines.
Participants in the Grand Challenge are also encouraged to submit a short QoMEX paper (up to 3 pages of content plus 1 page of references) describing their Grand Challenge solution. Accepted papers will be published in the conference proceedings. Rejection of a submitted QoMEX Grand Challenge paper does not necessarily exclude the corresponding solution from evaluation, as the assessment criteria differ: for example, novelty is critical for paper acceptance, whereas performance may be more important for solution evaluation.
Please email or post on the discussion forum here.
Or email us directly if you have any question: vqm-gc@gmail.com