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Yuki Asano

@yukimasano.bsky.social

Professor at University of Technology Nuremberg Head of Fundamental AI Lab

19 Posts1299 Follower56 Folgt
Michael Dorkenwald@mdorkenw.bsky.social · 10mo ago

Pretrained ViTs usually come in rigid sizes (S, B, L, H). But your hardware constraints don't We built a way to make DINO or CLIP fully elastic in <5 mins without any retraining ⚡️ Get the exact model size you need, not just what was released Find Walter at #NeurIPS Poster 4709 | Thu 4:30-7:30 PM

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Yuki Asano@yukimasano.bsky.social · last yr.

Today, we release Franca, a new vision Foundation Model that matches and often outperforms DINOv2. The data, the training code and the model weights are open-source. This is the result of a close and fun collaboration @valeoai.bsky.social (in France) and @funailab.bsky.social (in Franconia)🚀

Andrei Bursuc@abursuc.bsky.social · last yr.

1/ Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research.

Andreas Steiner@andreaspsteiner.bsky.social · 2y ago

🚀🚀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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Yuki Asano@yukimasano.bsky.social · 2y ago

LoRA et al. enable personalised model generation and serving, which is crucial as finetuned models still outperform general ones in many tasks. However, serving a base model with many LoRAs is very inefficient! Now, there's a better way: enter Prompt Generation Networks, presented today #BMVC