iQIYI Technical Product Team
Jul 12, 2019 · Artificial Intelligence
Multimodal Video Retrieval Solution for iQIYI Challenge: Feature Fusion and Model Ensemble
The ‘One Name’ team from Nanjing University achieved a MAP of 0.8986 and third place in the iQIYI multimodal video retrieval challenge by fusing official face embeddings with scene features, using channel‑attention‑based video feature fusion, a multimodal SE‑ResNeXt module, and a carefully partitioned model ensemble.
deep learningfeature fusioniQIYI challenge
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