Results 91 to 100 of about 4,502,013 (256)

Multi-Aligned and Multi-Scale Augmentation for Occluded Person Re-Identification

Sensors
Occluded person re-identification (Re-ID) faces significant challenges, mainly due to the interference of occlusion noise and the scarcity of realistic occluded training data.
Xuan Jiang, Xin Yuan, Xiaolan Yang
doaj   +1 more source

Data Augmentation through Generative Models [PDF]

openIn recent years, semantic segmentation has emerged as a critical task in computer vision, vital for applications ranging from autonomous driving to medical image analysis.
TOFFANIN, MATTIA
core  

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection

International Journal of Computational Intelligence Systems
Deep learning-based automated detection of insulator defects in electric power systems is a critical technological challenge, pivotal for ensuring reliability and efficiency in the global energy infrastructure.
Linghao Zhang, Luqing Wang, Zhijie Yan, Zhentang Jia, Hongjun Wang, Xinyu Tang   +5 more
doaj   +1 more source

Data Augmentation for Sample Efficient and Robust Document Ranking

Contextual ranking models have delivered impressive performance improvements over classical models in the document ranking task. However, these highly over-parameterized models tend to be data-hungry and require large amounts of data even for fine-tuning.
Anand, Abhijit (author), Anand, A. (author), Singh, Jaspreet (author), Leonhardt, L.J.L. (author), Rudra, Koustav (author)   +4 more
core   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Small-sample-data augmentation and transfer strategies for forest cover change monitoring

Ecological Indicators
The Qilian Mountains serves as a critical ecological barrier in northwest China, where the forest coverage strongly connected with the regional ecosystem stability, water conservation as well as climate change.
Kun Feng, Shaoxiu Ma, Haiyang Xi, Linhao Liang, Weiqi Liu, Atsushi Tsunekawa   +5 more
doaj   +1 more source

Exploring representation-level augmentation and RAG-based vulnerability augmentation with LLMs for vulnerability detection [PDF]

Using deep learning (DL) for detecting software vulnerabilities has become commonplace. However, data shortage remains a significant challenge due to the scarce nature of vulnerabilities.
Daneshvar, Seyed Shayan
core  

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source