GitHub

Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples

Generative models now forge photorealistic images that defy visual scrutiny, collapsing the boundary between authentic and synthetic. Existing attribution methods operate in a closed-set manner — they ...
TechCrunch

Gemini’s personalized AI image generation is now free for US users

Google announced on Monday that the Gemini app is now offering its personalized Nano Banana-powered image generation feature to a broader audience. Starting today, all eligible users in the U.S. can ...
IEEE

Sample Augmentation and Balance Approach for Improving Classification Performance With High-Resolution Remote Sensed Image

Abstract: High-resolution remote sensing images can provide detailed information for land cover classification. However, the performance of a classifier depends on the quality and quantity of training ...
IEEE

Dataset Pruning: Optimizing Image Datasets with a Cross-Validation Method

In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...