Atıf Formatları
TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

S. Yildiz Et Al. , "TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders," Turkish Journal of Electrical Engineering and Computer Sciences , vol.31, no.6, pp.1079-1098, 2023

Yildiz, S. Et Al. 2023. TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders. Turkish Journal of Electrical Engineering and Computer Sciences , vol.31, no.6 , 1079-1098.

Yildiz, S., Memış, A., & VARLI, S., (2023). TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders. Turkish Journal of Electrical Engineering and Computer Sciences , vol.31, no.6, 1079-1098.

Yildiz, Serdar, Abbas Memış, And Songül VARLI. "TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders," Turkish Journal of Electrical Engineering and Computer Sciences , vol.31, no.6, 1079-1098, 2023

Yildiz, Serdar Et Al. "TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders." Turkish Journal of Electrical Engineering and Computer Sciences , vol.31, no.6, pp.1079-1098, 2023

Yildiz, S. Memış, A. And VARLI, S. (2023) . "TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders." Turkish Journal of Electrical Engineering and Computer Sciences , vol.31, no.6, pp.1079-1098.

@article{article, author={Serdar Yildiz Et Al. }, title={TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders}, journal={Turkish Journal of Electrical Engineering and Computer Sciences}, year=2023, pages={1079-1098} }