Top-1 solution of multi-moments in time challenge 2019
In this technical report, we briefly introduce the solutions of our team'Efficient'for the Multi-
Moments in Time challenge in ICCV 2019. We first conduct several experiments with
popular Image-Based action recognition methods TRN, TSN, and TSM. Then a novel
temporal interlacing network is proposed towards fast and accurate recognition. Besides, the
SlowFast network and its variants are explored. Finally, we ensemble all the above models
and achieve 67.22\% on the validation set and 60.77\% on the test set, which ranks 1st on …
Moments in Time challenge in ICCV 2019. We first conduct several experiments with
popular Image-Based action recognition methods TRN, TSN, and TSM. Then a novel
temporal interlacing network is proposed towards fast and accurate recognition. Besides, the
SlowFast network and its variants are explored. Finally, we ensemble all the above models
and achieve 67.22\% on the validation set and 60.77\% on the test set, which ranks 1st on …
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