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Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language
The paper introduces LENS, a modular approach that combines large language models with vision modules to tackle computer vision problems. LENS performs competitively without multimodal training and is applicable to any off-the-shelf language model.
https://arxiv.org/abs//2306.16410
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
The paper introduces LENS, a modular approach that combines large language models with vision modules to tackle computer vision problems. LENS performs competitively without multimodal training and is applicable to any off-the-shelf language model.
https://arxiv.org/abs//2306.16410
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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