A Parallel Attention Network for Cattle Face Recognition

arXiv:2403.19980v1 Announce Type: new
Abstract: Cattle face recognition holds paramount significance in domains such as animal husbandry and behavioral research. Despite significant progress in confined environments, applying these accomplishments in wild settings remains challenging. Thus, we create the first large-scale cattle face recognition dataset, ICRWE, for wild environments. It encompasses 483 cattle and 9,816 high-resolution image samples. Each sample undergoes annotation for face features, light conditions, and face orientation. Furthermore, we introduce a novel parallel attention network, PANet. Comprising several …

abstract arxiv attention cs.cv dataset domains environments face face recognition network progress recognition research scale significance type