Combining Multiple Deep-learning-based Image Features for Visual Sentiment Analysis

Alexandros Pournaras, Nikolaos Gkalelis, Damianos Galanopoulos, Vasileios Mezaris. Combining Multiple Deep-learning-based Image Features for Visual Sentiment Analysis. In Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha Larson, editors, Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. Volume 3181 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

@inproceedings{PournarasGGM21-0,
  title = {Combining Multiple Deep-learning-based Image Features for Visual Sentiment Analysis},
  author = {Alexandros Pournaras and Nikolaos Gkalelis and Damianos Galanopoulos and Vasileios Mezaris},
  year = {2021},
  url = {http://ceur-ws.org/Vol-3181/paper15.pdf},
  researchr = {https://researchr.org/publication/PournarasGGM21-0},
  cites = {0},
  citedby = {0},
  booktitle = {Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021},
  editor = {Steven Hicks and Konstantin Pogorelov and Andreas Lommatzsch and Alba García Seco de Herrera and Pierre-Etienne Martin and Syed Zohaib Hassan and Alastair Porter and Asem Kasem and Stelios Andreadis and Mathias Lux and Marc Gallofré Ocaña and Alex Liu and Martha Larson},
  volume = {3181},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}