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today we will talk about a new research paper titled image bind one embedding space to bind them all image wind is a method that learns a joint representation across six different modalities images text audio depth thermal and inertial measurement unit data the authors of the paper state that just image paired data can bind all these modalities together by leveraging large-scale Vision language models image Point extends their zero shot capabilities to new modalities using their natural pairing with images this enables new applications like cross model retrieval composing modalities with arithmetic and cross model detection and generation it has set a new state-of-the-art in emergent zero shot recognition tasks across modalities even outperforming supervised models so how does this image Point work imagebind uses the unique binding property of images which allows them to be associated with many types of sensory experiences so what does this property mean this is like when we see an ima
