Jack Monas
commited on
Commit
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b600f17
1
Parent(s):
a5b7931
rules
Browse files
app.py
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@@ -147,16 +147,20 @@ def main():
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st.markdown("## Rules")
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st.markdown(
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"""
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""",
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unsafe_allow_html=True
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)
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st.markdown("## FAQs")
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display_faq("Do I have to participate in all challenges?",
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st.markdown("## Rules")
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st.markdown(
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"""
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- The use of publicly available datasets and pretrained weights is allowed. The use of private datasets or pretrained weights is prohibited.
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- You may use future actions to condition future frame predictions.
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- There is no limit on the inference time for any of the challenges.
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- Naive nearest-neighbor retrieval combined with seeking ahead to the next frames from the training set may result in reasonable performance, but is not permitted in solutions.
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- The leaderboard will display results on a public test set; however, the final winner will be determined based on performance on a private test set.
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- All submissions should be reproducible. Provide code, configuration files, and any necessary instructions to replicate your results.
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- We will not be able to award prizes to individuals in U.S. sanctioned countries. We reserve the right to not award a prize if it violates the spirit of the challenge.
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""",
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unsafe_allow_html=True
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)
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st.markdown("**Note:** Each challenge has additional, challenge-specific rules, which will be released when the challenges officially launch on March 10th.")
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st.markdown("---")
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st.markdown("## FAQs")
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display_faq("Do I have to participate in all challenges?",
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