Image-Text Pre-training with Contrastive Captioners

Posted by Zirui Wang and Jiahui Yu, Research Scientists, Google Research, Brain Team

Oftentimes, machine learning (ML) model developers begin their design using a generic backbone model that is trained at scale and with capabilities transferable to a wide range of downstream tasks. In natural language processing, a number of popular backbone models, including BERT, T5, GPT-3 (sometimes also referred to as “foundation models”), are pre-trained on web-scale data and have demonstrated generic multi-tasking capabilities through …

google brain image image-classification multimodal learning pre-training text training