all AI news
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
April 16, 2024, 4:43 a.m. | Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm
cs.LG updates on arXiv.org arxiv.org
Abstract: As generative AI progresses rapidly, new synthetic image generators continue to emerge at a swift pace. Traditional detection methods face two main challenges in adapting to these generators: the forensic traces of synthetic images from new techniques can vastly differ from those learned during training, and access to data for these new generators is often limited. To address these issues, we introduce the Ensemble of Expert Embedders (E3), a novel continual learning framework for updating …
abstract arxiv challenges cs.ai cs.cv cs.lg data detection detection methods detectors ensemble expert face generative generators image image generators images swift synthetic traces type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Tableau/PowerBI Developer (A.Con)
@ KPMG India | Bengaluru, Karnataka, India
Software Engineer, Backend - Data Platform (Big Data Infra)
@ Benchling | San Francisco, CA