Web: http://arxiv.org/abs/2201.11794

Jan. 31, 2022, 2:11 a.m. | Sebastian Monka, Lavdim Halilaj, Achim Rettinger

cs.LG updates on arXiv.org arxiv.org

Recent approaches of computer vision utilize deep learning methods as they
perform quite well if training and testing domains follow the same underlying
data distribution. However, it has been shown that minor variations in the
images that occur when using these methods in the real world can lead to
unpredictable errors. Transfer learning is the area of machine learning that
tries to prevent these errors. Especially, approaches that augment image data
using auxiliary knowledge encoded in language embeddings or knowledge …

arxiv cv graphs knowledge learning survey transfer learning

More from arxiv.org / cs.LG updates on arXiv.org

Senior Data Engineer

@ DAZN | Hammersmith, London, United Kingdom

Sr. Data Engineer, Growth

@ Netflix | Remote, United States

Data Engineer - Remote

@ Craft | Wrocław, Lower Silesian Voivodeship, Poland

Manager, Operations Data Science

@ Binance.US | Vancouver

Senior Machine Learning Researcher for Copilot

@ GitHub | Remote - Europe

Sr. Marketing Data Analyst

@ HoneyBook | San Francisco, CA