Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …
deep learning (DL). However, the latter faces various issues, including the lack of data or …
[HTML][HTML] Imbalanced spectral data analysis using data augmentation based on the generative adversarial network
Spectroscopic techniques generate one-dimensional spectra with distinct peaks and specific
widths in the frequency domain. These features act as unique identities for material …
widths in the frequency domain. These features act as unique identities for material …
ClipSwap: Towards High Fidelity Face Swapping via Attributes and CLIP-Informed Loss
This paper introduces ClipSwap, a new frame-work designed for high-fidelity face swapping.
Earlier methods for face swapping often struggle in identity transfer due to the mismatches in …
Earlier methods for face swapping often struggle in identity transfer due to the mismatches in …
Synthetic data generation for accurate, fair, and private recommender systems
DB Lilienthal - 2024 - search.proquest.com
A notorious challenge for recommender systems on online platforms is to accurately and
fairly recommend items that align with users' preferences while retaining user privacy. These …
fairly recommend items that align with users' preferences while retaining user privacy. These …