VİDEO ETİKETLEME UYGULAMALARINDA DERİN ÖĞRENME YAKLAŞIMLARININ KULLANILMASI ÜZERİNE KAPSAMLI BİR İNCELEME
Öz
Anahtar Kelimeler
Kaynakça
- Aafaq, N., Akhtar, N., Liu, W., Mian, A., 2019. Empirical Autopsy of Deep Video Captioning Frameworks, arxiv.org/pdf/1911.09345v1
- Amaresh, M. and Chitrakala, S., 2019. Video Captioning using Deep Learning: An Overview of Methods, Datasets and Metrics, International Conference on Communication and Signal Processing, India
- Ayers, D. and Shah, M. 2001. Monitoring human behavior from video taken in an office environment. Image and Vision Computing, 19(12),833–846.
- Baraldi, L., Grana, C. and Cucchiara, R., 2017. Hierarchical Boundary-Aware Neural Encoder for Video Captioning, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA
- Carreira, J., Zisserman, A., 2017. Quo Vadis, Action Recognition? A New Model and The Kinetics Dataset. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA
- Chen, D., Dolan, W., 2011, Collecting Highly Parallel Data For Paraphrase Evaluation. In ACL: Human Language Technologies, 1, 190-200.
- Chen, Y., Zhang, W., Wang, S., Li, L., Huang, Q., 2018. Saliency-Based Spatiotemporal Attention for Video Captioning, International Conference on Multimedia Big Data (BigMM), Xi'an, China
- Cho, K.,Van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y., 2014. Learning Phrase Representations Using Rnn Encoder-Decoder for Statistical Machine Translation. arXiv:1406.1078,
Ayrıntılar
Birincil Dil
Türkçe
Konular
Bilgisayar Yazılımı
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
29 Aralık 2020
Gönderilme Tarihi
24 Kasım 2020
Kabul Tarihi
28 Aralık 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 8 Sayı: 5