Results 11 to 20 of about 35,641 (264)
HTN Learning via Transfer Learning of Domain Landmarks
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Hierarchical Task Network (HTN) planning uses task-subtask relationships to break complex problems into more manageable subtasks, similar to how human problem-solvers plan.
Greg Pennisi +6 more
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A Review of Facial Landmark Extraction in 2D Images and Videos Using Deep Learning
Big Data and Cognitive Computing, 2019 The task of facial landmark extraction is fundamental in several applications which involve facial analysis, such as facial expression analysis, identity and face recognition, facial animation, and 3D face reconstruction.
Matteo Bodini
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A deep learning framework for the localization of landmarks on the lateral semi circular canals. [PDF]
PLoS ONEThis paper introduces a Deep Learning (DL) framework to localize landmark coordinates within the semicircular canals in Computed Tomography (CT) scans of the temporal bone.
Zhixuan Wei +4 more
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Deep 1D Landmark Representation Learning for Space Target Pose Estimation
Remote Sensing, 2022 Monocular vision-based pose estimation for known uncooperative space targets plays an increasingly important role in on-orbit operations. The existing state-of-the-art methods of space target pose estimation build the 2D-3D correspondences to recover the
Shengli Liu +3 more
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Early foraging life: spatial and temporal aspects of landmark learning in the ant Cataglyphis noda. [PDF]
J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 2018 Fleischmann PN, Rössler W, Wehner R.
europepmc +2 more sources
Learning to validate the quality of detected landmarks [PDF]
Twelfth International Conference on Machine Vision (ICMV 2019), 2020 Will be published in the proceedings of the ICMV 2019 ...
Wolfgang Fuhl, Enkelejda Kasneci
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Generalization of navigation memory in honeybees
Frontiers in Behavioral Neuroscience, 2023 Flying insects like the honeybee learn multiple features of the environment for efficient navigation. Here we introduce a novel paradigm in the natural habitat, and ask whether the memory of such features is generalized to novel test conditions. Foraging
Eric Bullinger +2 more
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One-Shot Learning for Landmarks Detection [PDF]
, 2021 Landmark detection in medical images is important for many clinical applications. Learning-based landmark detection is successful at solving some problems but it usually requires a large number of annotated datasets for the training stage. In addition, traditional methodsusually fail for the landmark detection of fine objects.
Wang, Zihao +5 more
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Frontiers in Psychology, 2022 There is much evidence, both in humans and rodents, that while navigating males tend to use geometric information whereas females rely more on landmarks. The present work attempts to alter the geometry bias in female rats. In Experiment 1 three groups of
Alejandra Aguilar-Latorre +5 more
doaj +1 more source
Heliyon, 2021 Developing countries, particularly Nigeria, continually find it challenging to proactively and actively carry out early-stage surveillance for disease outbreaks due to the lack of quality workforce, a dearth of public health data, and the absence of ...
Tunde Adebisi +4 more
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