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Fast Segment Anything
The paper proposes a speed-up alternative method for the segment anything model (SAM) in computer vision tasks, using a regular CNN detector with an instance segmentation branch, achieving comparable performance with 50x higher run-time speed.
https://arxiv.org/abs//2306.12156
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 proposes a speed-up alternative method for the segment anything model (SAM) in computer vision tasks, using a regular CNN detector with an instance segmentation branch, achieving comparable performance with 50x higher run-time speed.
https://arxiv.org/abs//2306.12156
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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