Intra-& extra-source exemplar-based style synthesis for improved domain generalization
The generalization with respect to domain shifts, as they frequently appear in applications
such as autonomous driving, is one of the remaining big challenges for deep learning …
such as autonomous driving, is one of the remaining big challenges for deep learning …
Intra-source style augmentation for improved domain generalization
The generalization with respect to domain shifts, as they frequently appear in applications
such as autonomous driving, is one of the remaining big challenges for deep learning …
such as autonomous driving, is one of the remaining big challenges for deep learning …
Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey
E Tiwari, D Shrimankar, M Maindarkar… - Rheumatology …, 2025 - Springer
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic
lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's …
lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's …
[HTML][HTML] Coarse-to-fine structure and semantic learning for single-sample SAR image generation
X Wang, B Hui, P Guo, R Jin, L Ding - Remote Sensing, 2024 - mdpi.com
Synthetic Aperture Radar (SAR) enables the acquisition of high-resolution imagery even
under severe meteorological and illumination conditions. Its utility is evident across a …
under severe meteorological and illumination conditions. Its utility is evident across a …
A two-stage model extraction attack on GANs with a small collected dataset
Due to their capacity for image generation, GAN models may be considered as a solution for
the use of private data, which enhances their commercial value. However, unlike …
the use of private data, which enhances their commercial value. However, unlike …
Differentiable Image Data Augmentation and Its Applications: A Survey
Data augmentation is an effective method to improve model robustness and generalization.
Conventional data augmentation pipelines are commonly used as preprocessing modules …
Conventional data augmentation pipelines are commonly used as preprocessing modules …
GAN Latent Space Manipulation Based Augmentation for Unbalanced Emotion Datasets
Y Xiong, J You, L Shen - 2023 International Joint Conference …, 2023 - ieeexplore.ieee.org
Learning with small or highly unbalanced datasets have long been an important area of
research in computer vision. Extracting features from these datasets is more difficult and the …
research in computer vision. Extracting features from these datasets is more difficult and the …
VSG-GAN: A high-fidelity image synthesis method with semantic manipulation in retinal fundus image
In recent years, advancements in retinal image analysis, driven by machine learning and
deep learning techniques, have enhanced disease detection and diagnosis through …
deep learning techniques, have enhanced disease detection and diagnosis through …