no code implementations • 21 Sep 2018 • Choongyeun Cho, Benjamin Antin, Sanchit Arora, Shwan Ashrafi, Peilin Duan, Dang The Huynh, Lee James, Hang Tuan Nguyen, Mojtaba Solgi, Cuong Van Than
This paper presents the Axon AI's solution to the 2nd YouTube-8M Video Understanding Challenge, achieving the final global average precision (GAP) of 88. 733% on the private test set (ranked 3rd among 394 teams, not considering the model size constraint), and 87. 287% using a model that meets size requirement.