Results 121 to 130 of about 3,676,418 (303)
AURA-Depth: Attention-Based Uncertainty Reduction and Feature Aggregation Depth Network
IEEE AccessReliable depth information is crucial in autonomous driving technology. However, monocular depth estimation often faces inherent limitations such as scale ambiguity and lack of depth cues.
Youngtak Na +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Monocular 3D object detection with thermodynamic loss and decoupled instance depth
Connection ScienceMonocular 3D detection is to obtain the 3D information of the object from the image. The mainstream methods mainly use L1 loss or L1-like loss to control the instance depth prediction. However, these methods have not achieved satisfactory results. One of
Gang Liu, Xiaoxiao Xie, Qingchen Yu
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Depth-based adaptive search range algorithm for motion estimation in HEVC
, 2014 High efficient video coding has been developed for ultra-high resolution and multi-view videos. It doubles the compression ratio compared to H.264/MPEG-4 AVC, but requires to adopt a very high computational quad-tree structure in motion estimation ...
Yui-Lam Chan (13527556) +2 more
core
Real-time lightweight self-supervised monocular depth estimation
Journal of Measurement Science and InstrumentationMonocular depth estimation aims to predict depth information within a scene from a single RGB image, but many models remain computationally intensive for real-time inference on resource-constrained edge devices.
YANG Tianxiang +4 more
doaj
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation
CoRR14 pages, 11 figure, 13 ...
Ruijie Zhu 0002 +5 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
openDepth completion involves predicting a dense depth map from sparse depth measurements and a synchronized RGB image. Traditional deep learning-based methods solving this task often lack flexibility and struggle with generalization, especially in zero ...
VIOLA, MASSIMILIANO
core
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