Results 111 to 120 of about 44,252 (301)
Estimating wage disparities using foundation models
Proceedings of the National Academy of SciencesThe rise of foundation models marks a paradigm shift in machine learning: instead of training specialized models from scratch, foundation models are trained on massive datasets before being adjusted or fine-tuned to make predictions on smaller datasets.
Keyon Vafa, Susan Athey, David M. Blei
openaire +3 more sources
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDisparity estimation is a key technology for recovering 3-D information from satellite imagery. Currently, very high-resolution images pose great challenges for context modeling in disparity estimation.
Mengran Yang +3 more
doaj +1 more source
Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
, 2021 Self-supervised deep learning methods have leveraged stereo images for training monocular depth estimation. Although these methods show strong results on outdoor datasets such as KITTI, they do not match performance of supervised methods on indoor ...
Keltjens, Benjamin (author)
core
Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
IAASNet: Ill-Posed-Aware Aggregated Stereo Matching Network for Cross-Orbit Optical Satellite Images
Remote SensingStereo matching estimates disparity by finding correspondences between stereo image pairs. Under ill-posed conditions such as geometric differences, radiometric differences, and temporal changes, accurate estimation becomes difficult due to insufficient ...
Jiaxuan Huang, Haoxuan Sun, Taoyang Wang
doaj +1 more source
Stereo-based dense disparity estimation for lunar surface
, 2012 A stereo-based dense disparity estimation algorithm is proposed to build high quality dense disparity map of lunar surface under special illumination, weak texture and occlusion condition.
Zhao, Dengke +4 more
core
Dynamically adaptive real-time disparity estimation hardware using iterative refinement [PDF]
The computational complexity of disparity estimation algorithms and the need of large size and bandwidth for the external and internal memory make the real-time processing of disparity estimation challenging, especially for High Resolution (HR) images ...
Akin, Abdulkadir +3 more
core +1 more source
Exploring Curvature Effects in Direct‐Written 3D Curved Hollow Magnetic Nanoshells
Advanced Functional Materials, EarlyView.Fabricated by a hybrid FEBID/CVD method, 3D PtC/Co3Fe core–shell heterostructures with engineered curvature and shell thickness exhibit complex reversal modes with axially symmetric N'eel‐type domain walls. XMCD‐PEEM combined with full‐scale micromagnetic simulations reveal how curvature and thickness govern the domain wall energy landscape and shape ...
Oleksii M. Volkov +10 more
wiley +1 more source
A benchmark on stereo disparity estimation for humanoid robots
, 2008 This paper presents the experimental evaluation of a dense disparity estimation algorithm, focusing on the most relevant aspects for humanoid robots: real-time functionality and ability to deal with calibration errors.
Leitner, Jürgen +2 more
core