Search Results for author:
Found 2 papers, 0 papers with code
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
Short duration movie trailers provide useful insights about the movie as video content consists of the cognitive and the affective level features.
Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets
Most methods for unsupervised domain adaptation proposed in the literature to date, assume that the set of classes present in the target domain is identical to the set of classes present in the source domain.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
