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[QA] TextCAVs: Debugging vision models using text
Manage episode 434971810 series 3524393
TextCAVs is a novel method for generating concept activation vectors using text descriptions, reducing the need for labeled image data in deep learning model interpretability, particularly in medical applications.
https://arxiv.org/abs//2408.08652
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1649 afleveringen
Manage episode 434971810 series 3524393
TextCAVs is a novel method for generating concept activation vectors using text descriptions, reducing the need for labeled image data in deep learning model interpretability, particularly in medical applications.
https://arxiv.org/abs//2408.08652
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1649 afleveringen
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