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Andreas Steiner

@andreaspsteiner.bsky.social

195 followers 5 following 8 posts

Researching #ComputerVision at #GoogleDeepMind using JAX/Flax (github.com/google/flax). Views are my own.

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Andreas Steiner @andreaspsteiner.bsky.social · 19/02/2025

Looking for a small or medium sized VLM? PaliGemma 2 spans more than 150x of compute! Not sure yet if you want to invest the time 🪄finetuning🪄 on your data? Give it a try with our ready-to-use "mix" checkpoints: 🤗 huggingface.co/blog/paligem... 🎤 developers.googleblog.com/en/introduci...

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Andreas Steiner @andreaspsteiner.bsky.social · 05/12/2024

If you want to know more, now is a good time to head over to the 31 page tech report. Brought to you by an amazing team of collaborators from @GoogleDeepMind and @GoogleAI . arxiv.org/abs/2412.03555 6/7

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Andreas Steiner @andreaspsteiner.bsky.social · 05/12/2024

In addition to the pre-trained checkpoints, we also release two checkpoints fine-tuned on the DOCCI dataset, which generate fine-grained captions with a great quality/compute trade-off – and no yapping! 5/7

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Andreas Steiner @andreaspsteiner.bsky.social · 05/12/2024

After 🪄finetuning🪄 on your data, you can expect to see great results, like the sota we got on recognizing table structures, music scores, molecular structures, and text, and on radiography report generation. 4/7

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Andreas Steiner @andreaspsteiner.bsky.social · 05/12/2024

As the original PaliGemma, the pre-trained PaliGemma 2 models have segmentation and detection capabilities, and excel at OCR – which makes them extremely versatile for 🪄finetuning🪄. The original demo hf.co/spaces/big-v... gives you an idea of the capabilities. 3/7

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Andreas Steiner @andreaspsteiner.bsky.social · 05/12/2024

Adding this new "model size" dimension unlocks substantial improvements for some tasks (blue, e.g. AI2D), and compounds with improvements from increased resolution for most tasks (green, e.g. InfoVQA). 2/7

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Andreas Steiner @andreaspsteiner.bsky.social · 05/12/2024

🚀🚀PaliGemma 2 is our updated and improved PaliGemma release using the Gemma 2 models and providing new pre-trained checkpoints for the full cross product of {224px,448px,896px} resolutions and {3B,10B,28B} model sizes. 1/7

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