Results 161 to 170 of about 549,786 (309)

Self-supervised Learning for Single View Depth and Surface Normal Estimation [PDF]

, 2019
Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian Reid   +3 more
openalex   +1 more source

Cold-start Active Learning through Self-supervised Language Modeling [PDF]

, 2020
Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd‐Graber   +2 more
openalex   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Proposal of self and semi-supervised learning for imbalanced classification of coronary heart disease tabular data

Tecnología en Marcha
Triple Mixup is an augmentation policy in the hidden latent space we introduced in the Contrastive Mixup Self-Semi Supervised learning framework, to address the imbalanced data problem, for Cardiovascular Heart Diseases tabular dataset. Medical tabular
Danny Xie-Li, Manfred González-Hernández   +1 more
doaj   +1 more source

Genetic underpinnings of predicted changes in cardiovascular function using self supervised learning [PDF]

Zachary Levine, Guy Lutsker, Anastasia Godneva, Adina Weinberger, Maya Pompan, Yeela Talmor‐Barkan, Yotam Reisner, Hagai Rossman, Eran Segal   +8 more
openalex   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization [PDF]

, 2021
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman   +3 more
openalex   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography

, 2020
Marinus J. Lagerwerf, Allard A. Hendriksen, Jan‐Willem Buurlage, Kees Joost Batenburg   +3 more
openalex   +2 more sources

Point2Vec for Self-Supervised Representation Learning on Point Clouds [PDF]

, 2023
Karim Abou Zeid, Jonas Schult, Alexander Hermans, Bastian Leibe   +3 more
openalex   +1 more source