As an important upstream task for many medical applications, supervised landmark localization still requires non-negligible annotation costs to achieve desirable performance. Besides, due cumbersome collection procedures, the limited size of datasets impacts effectiveness large-scale self-supervised pre-training methods. To address these challenges, we propose a two-stage framework one-shot loc...

Two species of desert ants - the North African Cataglyphis fortis and the central Australian Melophorus bagoti - differ markedly in the visual complexity of their natural habitats: featureless salt pans and cluttered, steppe-like terrain, respectively. Here we ask whether the two species differ in their navigational repertoires, in particular, whether in homing they place different emphasis on ...

For the fast and accurate self-localization of mobile robots, landmarks can be used very efficiently in the complex workspace. In this paper, we propose a simple color landmark model for self-localization and a fast landmark detection and tracking algorithm based on the proposed landmark model. We develop a color landmark with a symmetric and repetitive structure, which shows invariant color hi...

This paper discusses a new approach to improve tone recognition by modeling the tone nucleus with vowel landmark detection. The tone nucleus region is identified based on vowel landmark frames derived by an automatic landmark recognition system. In the corresponding tone recognition experiments, the best results with landmark-based tone nucleus regions outperform the best baseline system result...

Ultrasonography is a safe, rapid, and non-invasive diagnostic tool that has been previously used for imaging infants and canine neonatal brains. The purpose of the present study was to describe the ultrasonographic appearance of the brain in clinically normal caprine neonates. Ultrasonographic examination was done on 12 day-old goat kids, transverse and sagittal transcranial scans were obtained...