Pixel-BERT: Letting Pictures and Words Talk — Better Than Before
Imagine a system that makes every little dot in a photo connect with words.
Pixel-BERT links pixels and words directly, so images and sentences can be read together, end-to-end.
It learn from whole pictures instead of chopping them into boxes, that means no boxes are needed and the model can see details others miss.
The model are trained on huge photo sets and uses smart tricks to stay strong when pictures change, it even mixes up pixels so it wont rely on one single clue.
Why care? This makes apps that answer questions about photos and find matching images and captions work much better.
The system was pre-trained so it starts strong for many tasks.
In tests it gave better answers across tasks, and pushed one question-answering test up by 2.
17 points.
Short version: pictures and words now speak together more clearly, so your phone or app can understand images in a richer, more human like way.
Read article comprehensive review in Paperium.net:
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
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