May 14, 2024, 4:44 a.m. | Keumgang Cha, Junghoon Seo, Taekyung Lee

cs.LG updates on

arXiv:2304.05215v2 Announce Type: replace-cross
Abstract: As the potential of foundation models in visual tasks has garnered significant attention, pretraining these models before downstream tasks has become a crucial step. The three key factors in pretraining foundation models are the pretraining method, the size of the pretraining dataset, and the number of model parameters. Recently, research in the remote sensing field has focused primarily on the pretraining method and the size of the dataset, with limited emphasis on the number of …

abstract arxiv attention become billion cs.lg dataset foundation foundation model images key pretraining replace scale sensing tasks type visual

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Principal Research Engineer - Materials

@ GKN Aerospace | Westlake, TX, US