Results 41 to 50 of about 6,344,658 (293)
Unsupervised Learning of Landmarks by Descriptor Vector Exchange [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Equivariance to random image transformations is an effective method to learn landmarks of object categories, such as the eyes and the nose in faces, without manual supervision. However, this method does not explicitly guarantee that the learned landmarks are consistent with changes between different instances of the same object, such as different ...
James Thewlis +3 more
openaire +6 more sources
Frontiers in Psychology, 2015 We present two experiments investigating how navigators deal with ambiguous landmark information when learning unfamiliar routes. In the experiments we presented landmark objects repeatedly along a route, which allowed us to manipulate how informative ...
Marianne eStrickrodt +3 more
doaj +1 more source
A Novel Thermal-Visual Place Learning Paradigm for Honeybees (Apis mellifera)
Frontiers in Behavioral Neuroscience, 2020 Honeybees (Apis mellifera) have fascinating navigational skills and learning capabilities in the field. To decipher the mechanisms underlying place learning in honeybees, we need paradigms to study place learning of individual honeybees under controlled ...
Ricarda Scheiner +7 more
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Desert Ants Learn Vibration and Magnetic Landmarks [PDF]
PLoS ONE, 2012 The desert ants Cataglyphis navigate not only by path integration but also by using visual and olfactory landmarks to pinpoint the nest entrance. Here we show that Cataglyphis noda can additionally use magnetic and vibrational landmarks as nest-defining cues.
Bühlmann, C. +2 more
openaire +5 more sources
Frontiers in Aging Neuroscience, 2016 Previous studies have showed that spatial memory declines with age but have not clarified the relevance of different landmark cues for specifying heading directions among different age groups.
Jimmy Yu Zhong, Scott Douglas Moffat
doaj +1 more source
Scientific Reports, 2023 Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsolved.
Kaisei Takahashi +4 more
doaj +1 more source
BMC Oral Health, 2023 Background The success of cephalometric analysis depends on the accurate detection of cephalometric landmarks on scanned lateral cephalograms. However, manual cephalometric analysis is time-consuming and can cause inter- and intra-observer variability ...
Su Yang +5 more
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FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Open Information ScienceThis study explores the integration of sustainable practices within Nigerian academic libraries, with a particular focus on the perceptions and lived experiences of Library and Information Science (LIS) professionals. Using a qualitative phenomenological
Kayode Adeniyi Isaiah +1 more
doaj +1 more source
BMC Medical Education, 2020 Background Considering the increasing popularity of electronic learning, particularly smartphone-based mobile learning, and its reportedly optimal efficacy for instruction of complicated topics, this study aimed to compare the efficacy of smartphone ...
Amin Golshah +3 more
doaj +1 more source