Participants are to adhere to the following terms and conditions. Failure to do so will result in disqualification from the Challenge.
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Participants can utilize one or more modalities provided in the dataset for the task.
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Participants can also use other datasets or pre-trained models etc.
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The model should not be trained on any data from the test set.
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Participants are required to submit their results the link to their training data, code, and model repositories by the Challenge submission deadline.
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The codes need to be open-source and the same results can be reproduced by others. Hence, the submission should include:
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list of Python libraries / dependencies for the codes
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pre-training / training data (if different from what we provided) and pre-processing or pre-training codes
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training and inference codes
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trained model
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documentation / instruction / other relevant information to ensure the seamless execution of the codes (e.g., easy means to read in test data directly by simply replacing the test data directory DIR_DATA_TEST)
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Participants can upload their project (codes and models) to GitHub, Google Drive or any other online storage providers.
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Paper Submission
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We will contact the top teams of each track to submit the paper.
Length: Papers must be no longer than 6 pages, including all text, figures, and references. Submissions may be accompanied by up to 20 MB of supplemental material following the same guidelines as regular and special session papers.
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Format: Workshop papers have the same format as regular papers.
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Challenge Details
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Participants are required to register their interest to participate in the Challenge.
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Participants are required to register their interest to participate in the Challenge.
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The Grand Challenge is open to individuals from institutions of higher education, research institutes, enterprises, or other organizations.
Each team can consist of a maximum of 6 members. The team can comprise individuals from different institutions or organizations.
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Challenge Details
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- 25 March 2024
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Submission Guidelines
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Code Submission Terms and Conditions
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Participants are to adhere to the following terms and conditions. Failure to do so will result in disqualification from the Challenge.
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Participants can utilize one or more modalities provided in the dataset for the task.
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Participants can also use other datasets or pre-trained models etc.
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The model should not be trained on any data from the test set.
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Participants are required to submit their results the link to their training data, code, and model repositories by the Challenge submission deadline.
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The codes need to be open-source and the same results can be reproduced by others. Hence, the submission should include:
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-
list of Python libraries / dependencies for the codes
-
pre-training / training data (if different from what we provided) and pre-processing or pre-training codes
-
training and inference codes
-
trained model
-
documentation / instruction / other relevant information to ensure the seamless execution of the codes (e.g., easy means to read in test data directly by simply replacing the test data directory DIR_DATA_TEST)
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Participants can upload their project (codes and models) to GitHub, Google Drive or any other online storage providers.
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Paper Submission
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We will contact the top teams of each track to submit the paper.
Length: Papers must be no longer than 6 pages, including all text, figures, and references. Submissions may be accompanied by up to 20 MB of supplemental material following the same guidelines as regular and special session papers.
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Format: Workshop papers have the same format as regular papers.
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Submission Guidelines
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06 February 2024 Registration opens and Challenge starts