Results 151 to 160 of about 842,651 (374)
Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge. [PDF]
Comput Intell Neurosci, 2022 Maraghi VO, Faez K.
europepmc +1 more source
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
Advanced Materials, EarlyView.An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source
Class-Incremental Grouping Network for Continual Audio-Visual Learning [PDF]
, 2023 Shentong Mo, Weiguo Pian, Yapeng Tian
openalex +1 more source
Advanced Materials, EarlyView.The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley +1 more source
BiaMix Contrastive Learning and Memory Similarity Distillation in Class‐Incremental Learning
CAAI Transactions on Intelligence TechnologyClass‐incremental learning studies the problem of continually learning new classes from data streams. But networks suffer from catastrophic forgetting problems, forgetting past knowledge when acquiring new knowledge.
Mang Ye +4 more
doaj +1 more source
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
AAAI Conference on Artificial IntelligenceClass incremental learning (CIL) aims to solve the notorious forgetting problem, which refers to the fact that once the network is updated on a new task, its performance on previously-learned tasks degenerates catastrophically.
Libo Huang +5 more
semanticscholar +1 more source
Advanced Materials, EarlyView.Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features [PDF]
, 2023 Ke Song +4 more
openalex +1 more source