16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models
Keith G. Mills, Evan B. Sanders, Gregory J. Matthews +1
Semantic segmentation decomposes an image into distinct mask regions corresponding to different object categories, such as people, cars, signs or buildings. Advances in machine lea…
stat.AP2018★ 16 cited
A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae
Gregory J Matthews, Juliet K. Brophy, Maxwell P. Luetkemeier +2
This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically…