Name
Abstract | ||
|---|---|---|
Automatic age estimation is a challenging problem attracting attention of the computer vision and pattern recognition communities due to its many practical applications. Artificial neural networks, such as CNNs are a popular tool for tackling this problem, and several datasets which can be used for training models are available.Despite the fact that dogs are the most well studied species in animal science, and that ageing processes in dogs are in many aspects similar to those of humans, the problem of age estimation for dogs has so far been overlooked. In this paper we present the DogAge dataset and an associated challenge, hoping to spark the interest of the scientific community in the yet unexplored problem of automatic dog age estimation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-30508-6_34 | ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: IMAGE PROCESSING, PT III |
Keywords | DocType | Volume |
CNN, Computer vision, Applications of deep learning, Age estimation | Conference | 11729 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.48 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Zamansky | 1 | 1 | 0.82 |
| Aleksandr M. Sinitca | 2 | 1 | 1.50 |
| Dmitry I. Kaplun | 3 | 6 | 4.31 |
| Luisa M. L. Dutra | 4 | 1 | 0.48 |
| Robert J. Young | 5 | 1 | 0.82 |