OneR
One Representation
In the OneR method, model input can be one of image, text or image+text, and CMC objective is combined with the traditional image-text contrastive (ITC) loss. Masked modeling is also carried out for all three input types (i.e., image, text and multi-modal). This framework employs no modality-specific architectural component except for the initial token embedding layer, making our model generic and modality-agnostic with minimal inductive bias.
Unifying Vision-Language Representation Space with Single-tower Transformer
https://paperswithcode.com/paper/unifying-vision-language-representation-space
Unifying Vision-Language Representation Space with Single-tower Transformer