2min chapter

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis cover image

E6: The Computer Vision Revolution with Junnan Li and Dongxu Li of BLIP and BLIP2

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

CHAPTER

Image Text Matching Loss

The standard image captioning loss is a not-nowish model loss, but condition down on image. And our third loss right is, is what we call image text matching loss. The purpose of this loss is that we want to learn, even final green similarity or kind of matching between the image and text through this cross attention mechanism. So by doing this, we can further enhance this alignment between these two modalities. That's why we fix those three loss as kind of the standard lost losing.

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