the classes in a dataset. An input image is classified based
on its similarity to the text descriptions in the embedding
space. Unlocking such zero-shot classification for other
modalities requires specifically training using paired text
data, e.g., (audio, text) [26] or (point-clouds, text) [83]. In
contrast, IMAGEBIND unlocks zero-shot classification for
modalities without paired text data.
IMAGEBIND- One Embedding Space To Bind Them A