Results 51 to 60 of about 21,351 (259)

Switchable Online Knowledge Distillation

, 2022
16 pages, 7 figures, accepted by ECCV ...
Biao Qian, Yang Wang 0023, Hongzhi Yin, Richang Hong, Meng Wang 0001   +4 more
openaire   +4 more sources

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

Contrastive Learning‐Based Multi‐Level Knowledge Distillation

CAAI Transactions on Intelligence Technology
With the increasing constraints of hardware devices, there is a growing demand for compact models to be deployed on device endpoints. Knowledge distillation, a widely used technique for model compression and knowledge transfer, has gained significant ...
Lin Li, Jianping Gou, Weihua Ou, Wenbai Chen, Lan Du   +4 more
doaj   +1 more source

One‐Step Curcumin‐Mediated Multiphoton Lithography for Bioactive 3D Scaffolds

Advanced Functional Materials, EarlyView.
Curcumin‐mediated multiphoton lithography enables one‐step fabrication of highly architected complex gelatin methacryloyl scaffolds by exploiting curcumin as a multifunctional bioactive photoinitiator. The resulting 3D structures support mesenchymal stem cell adhesion, proliferation, and migration, while exhibiting dual antibacterial activity through ...
Myrto Charitaki, Michalis Stavrou, Chrysanthi Pinelopi Apostolidou, Elmina Kabouraki, David Gray, Anna Mitraki, Anthi Ranella, Maria Farsari   +7 more
wiley   +1 more source

Distilling Diverse Knowledge for Deep Ensemble Learning

IEEE Access
Bidirectional knowledge distillation improves network performance by sharing knowledge between networks during the training of multiple networks. Additionally, performance is further improved by using an ensemble of multiple networks during inference ...
Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi   +3 more
doaj   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source

Transformer-Based Knowledge Distillation with Ghost Attention for Multimodal Edge-Based Smart Surveillance [PDF]

ITM Web of Conferences
In the modern era, knowledge distillation has gained attention as an important technique for edge-based smart surveillance that integrates accurate yet lightweight deployable models on resource-constrained devices.
Sataar Zahrah
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Knowledge distillation of face recognition via attention cosine similarity review

IET Computer Vision
Deep learning‐based face recognition models have demonstrated remarkable performance in benchmark tests, and knowledge distillation technology has been frequently accustomed to obtain high‐precision real‐time face recognition models specifically designed
Zhuo Wang, SuWen Zhao, WanYi Guo
doaj   +1 more source

NTCE-KD: Non-Target-Class-Enhanced Knowledge Distillation

Sensors
Most logit-based knowledge distillation methods transfer soft labels from the teacher model to the student model via Kullback–Leibler divergence based on softmax, an exponential normalization function. However, this exponential nature of softmax tends to
Chuan Li, Xiao Teng, Yan Ding, Long Lan
doaj   +1 more source