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Improving Transfer Learning with a Dual Image and Video Transformer for Multi-label Movie Trailer Genre Classification
In particular, we present an extensive evaluation of the transferability of ConvNet and Transformer models pretrained on ImageNet and Kinetics to Trailers12k, a new manually-curated movie trailer dataset composed of 12, 000 videos labeled with 10 different genres and associated metadata.
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