Self-SupervisedMulti-ObjectTracking withCross-InputConsistency

Neural Information Processing Systems 

Wepropose anovel self-supervisory signal that we call cross-input consistency: we construct two distinct inputs for the same sequence ofvideo, byhiding different information about the sequence in each input.

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