Hello,
In light of a recent loophole in the detection track validation networks found by one of the participants, we are appending a section to the rules that disallows solutions of this type. Note that this loophole only affects the detection track, but the new rules apply to all tracks. The addition to the rules is as follows:
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The use of features that are clearly loopholes is not allowed (e.g., differences in Python classes, batch norm num_batches_tracked statistics, or other discrepancies that would be easy to patch but may have been overlooked). As this is a new format of competition, we may not anticipate all loopholes and we encourage participants to alert us to their existence. Legitimate features that do not constitute loopholes include all features derived from the trained parameters of the networks.
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All the best,
Mantas (TDC co-organizer)