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NLLB-CLIP -- train performant multilingual image retrieval model on a budget. (arXiv:2309.01859v3 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
Today, the exponential rise of large models developed by academic and
industrial institutions with the help of massive computing resources raises the
question of whether someone without access to such resources can make a
valuable scientific contribution. To explore this, we tried to solve the
challenging task of multilingual image retrieval having a limited budget of
$1,000. As a result, we present NLLB-CLIP - CLIP model with a text encoder from
the NLLB model. To train the model, we used …
academic arxiv budget clip computing computing resources explore image industrial large models massive multilingual nllb raises resources retrieval solve train