Results 221 to 230 of about 6,914,944 (265)

Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction

Computer Graphics Forum, EarlyView.
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik, Morten Henkel, Yanjiang He, Victor Czech, Tim Elsner, Isaak Lim, Leif Kobbelt   +6 more
wiley   +1 more source

A Hybrid Federated Learning Framework for Enhancing Privacy and Robustness in Non-Intrusive Load Monitoring. [PDF]

Sensors (Basel)
Rong J, Zhou Q, Wu H.
europepmc   +1 more source

Lightweight plant phenotypic feature extraction via transferable attention head pruning in Vision Transformers. [PDF]

Front Plant Sci
Xie Y, Zeng X, Wang R, Li W.
europepmc   +1 more source

Real-Time Target-Oriented Grasping Framework for Resource-Constrained Robots. [PDF]

Sensors (Basel)
Han D, Li H, Li Y, Chen S.
europepmc   +1 more source

TinyML pipeline for efficient crack classification in UAV-based structural health inspections. [PDF]

Sci Rep
Zhang Y, Nürnberg A, Rau LSM, Vu QNP, Lu Y, Oelmann B, Bader S.   +6 more
europepmc   +1 more source

A unified EfficientSwinB-based framework for medicinal plant recognition and safflower germplasm classification. [PDF]

Sci Rep
Khuat PT, Thien Van H.
europepmc   +1 more source

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Adaptive Search-and-Training for Robust and Efficient Network Pruning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Both network pruning and neural architecture search (NAS) can be interpreted as techniques to automate the design and optimization of artificial neural networks.
Xiaotong Lu, W. Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi   +5 more
semanticscholar   +3 more sources

An Improved Neural Network Pruning Technology for Automatic Modulation Classification in Edge Devices

IEEE Transactions on Vehicular Technology, 2020
Automatic modulation classification (AMC) plays an important role in both civilian and military applications. Today, increasingly more researchers apply a deep learning framework in AMC.
Yun Lin, Ya Tu, Z. Dou
semanticscholar   +3 more sources