Fetching the paper…
Reading the bibliography…
This technical report proposes an audio captioning system for DCASE 2021 Task 6 audio captioning challenge.
K. Papineni, S. Roukos, T. Ward, and W.-j. Zhu, “BLEU : a Method for Automatic Evaluation of Machine Translation,”
2002
Earlier work this paper cites.
C. Y. Lin, “Rouge: A package for automatic evaluation of summaries,”
2004
Earlier work this paper cites.
S. Banerjee and A. Lavie, “METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,”
2005
Earlier work this paper cites.
2013
Earlier work this paper cites.
F. Chollet
2015
Earlier work this paper cites.
2015
Cited alongside, same era.
R. Vedantam, C. L. Zitnick, and D. Parikh, “CIDEr: Consensus-based image description evaluation,”
2015
Cited alongside, same era.
P. Anderson, B. Fernando, M. Johnson, and S. Gould, “Spice: Semantic propositional image caption evaluation,” in
2016
Cited alongside, same era.
K. Drossos, S. Adavanne, and T. Virtanen, “Automated audio captioning with recurrent neural networks,” in
2017
Cited alongside, same era.
J. F. Gemmeke, D. P. W. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, “Audio set: An ontology and human-labeled dataset for audio events,” in
2017
Cited alongside, same era.
S. Liu, Z. Zhu, N. Ye, S. Guadarrama, and K. Murphy, “Improved image captioning via policy gradient optimization of spider,”
2017
Later among the works it cites.
K. Drossos, S. Lipping, and T. Virtanen, “Clotho: An audio captioning dataset,” in
2020
Later among the works it cites.
A. Özkaya Eren and M. Sert, “Audio captioning based on combined audio and semantic embeddings,” in
2020
Later among the works it cites.
A. Ö. Eren and M. Sert, “Audio captioning using gated recurrent units,”
2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…