An Overview of Deep Neural Networks for Few-Shot Learning
J Zhao, L Kong, J Lv - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org
Recent advancements in deep learning have led to significant breakthroughs across various
fields. However, these methods often require extensive labeled data for optimal …
fields. However, these methods often require extensive labeled data for optimal …
Conan: Conditional neural aggregation network for unconstrained face feature fusion
Face recognition from image sets acquired under unregulated and uncontrolled settings,
such as at large distances, low resolutions, varying viewpoints, illumination, pose, and …
such as at large distances, low resolutions, varying viewpoints, illumination, pose, and …
An End-to-End Air Writing Recognition Method Based on Transformer
The air-writing recognition task entails the computer's ability to directly recognize and
interpret user input generated by finger movements in the air. This form of interaction …
interpret user input generated by finger movements in the air. This form of interaction …
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Deep learning has seen remarkable advancements in machine learning, yet it often
demands extensive annotated data. Tasks like 3D semantic segmentation impose a …
demands extensive annotated data. Tasks like 3D semantic segmentation impose a …
The Reality of Artificiality: The Impact of Artificial Intelligence on Language and Culture Course Assessments and Rubrics
T Lobalsamo, D Segreti, MJ Jamali… - AI in Language Teaching …, 2024 - igi-global.com
As artificial intelligence (AI) continues to increase its presence and accessibility within
education, the need to address AI's impact on assignment design and the production of …
education, the need to address AI's impact on assignment design and the production of …