Computer Vision and Deep Learning Applied to the Photo-identification of Cetaceans

Author:

Renò Vito,Dimauro Giovanni,Fanizza Carmelo,Carlucci Roberto,Maglietta Rosalia

Publisher

Springer International Publishing

Reference44 articles.

1. Hammond PS, Mizroch SA, Donovan GP, (eds.). (1990) Individual recognition of cetaceans: use of photo-identification and other techniques to estimate population parameters. Rep Int Whal Commission 12:1–440

2. Akkaya A, Awbery T, Lyne P, et al (2020) Comparison of acoustic pattern recorded for the sperm whale (Physeter macrocephalus) in the Northen Ionian Sea (Central Mediterranean Sea) and in the north-western Levantine Sea (eastern Mediterranean Sea). In: Proceedings IMEKO metrology for the sea, Napoli, Italy, 5-7 October 2020, pp. 123–128

3. Azzolin M, Arcangeli A, Cipriano G et al (2020) Spatial distribution modelling of striped dolphin (Stenella coeruleoalba) at different geographical scales within the EU Adriatic and Ionian Sea region, central-eastern Mediterranean Sea. Aquat Conserv Mar Freshwat Ecosyst 30:1194–1207

4. Bellomo S, Santacesaria F.C, Fanizza C, et al (2019a) Photo-identification of Physeter macrocephalus in the Gulf of Taranto (northern Ionian Sea, Central-Eastern Mediterranean Sea). In: Proceedings IMEKO metrology for the sea, Genova, Italy, 3–5 October 2019, pp. 33–37

5. Carlucci R, Baş AA, Liebig P et al (2020b) Residency patterns and site fidelity of Grampus griseus (Cuvier, 1812) in the Gulf of Taranto (northern Ionian Sea, central-eastern Mediterranean Sea). Mammal Res 65:445–455

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